Stable Image Research Articles

A rotation-invariant corner detector based on the median of subpixelized triangle

Corners are stable local image features that have played a crucial role in various computer vision and image processing tasks. Existing corner detectors generally assume that the distance between every two adjacent pixels is a constant during curvature estimation. However, this assumption is actually invalid, and thus those pixel-based measures of discrete curvature developed and exploited in the existing corner detectors may suffer instability under rotation transformations. To address this fundamental problem, a novel curvature measure is proposed in this paper, which exploits the median of a subpixelized triangle located at the current point to estimate its discrete curvature. It is shown that our proposed curvature measure is invariant under rotation transformations. Based on this novel curvature measure, a new corner detector is further developed. Extensive experimental results show that our proposed corner detector can deliver superior performance over the existing state-of-the-art methods.

Accelerating TOF-MRA: The impact of the combined use of compressed sensitivity encoding and spiral imaging

PurposeTo evaluate the image quality of the combined technique of compressed sensitivity encoding (CS) and spiral imaging in time-of-flight magnetic resonance angiography (TOF-MRA), which is approximately 2.5 times faster than conventional methods. MethodsTwenty volunteers underwent four TOF-MRA sequences: sensitivity encoding (SENSE) with acceleration factor of 4 (acquisition time: 4:55 min), CS with acceleration factor of 10.9, and spiral and CS-spiral (both 1:55 min). A quantitative image analysis (signal-to-noise ratio [SNR], contrast, and full width at half maximum [FWHM] edge criterion measurements) was performed on four TOF sequences. For qualitative image analysis, two board-certified radiologists evaluated the overall depiction of the proximal, intermediate, and distal branches in CS, spiral, and CS-spiral images using SENSE as a reference. ResultsThe SNR of BA in spiral and CS-spiral imaging was significantly lower than that in SENSE (p = 0.009). The contrasts of ACA and BA in CS-spiral were significantly higher and those in spiral were significantly lower than those in SENSE (p < 0.001). The FWHM in the CS image was significantly higher than that of SENSE; however, no significant differences were observed between the spiral or CS-spiral and SENSE. In qualitative analysis, the depiction of proximal vascular branches was significantly impaired in spiral than in others and that of distal vascular branches was significantly impaired in CS than in others (p < 0.001). ConclusionsIn TOF-MRA, which is approximately 2.5 times faster than conventional methods, the combined use of CS and spiral imaging demonstrated an improvement in image quality compared to either CS or spiral imaging alone. Summary statementThe image quality of Compressed SENSE and spiral imaging is particularly poor in the proximal and distal vascular branches, respectively at an extremely high acceleration factor; however, CS-spiral provided stable image quality in all regions as compared with the SENSE technique.

Prince and King Danylo Romanovych in the ukrainian intellectual discourse of Galicia in the second half of the 19th century

The article is devoted to the study of the history of the image of Prince and King Danylo Romanovych in the Ukrainian cultural memory of the second half of the 19th century. The choice of the suggested segment of memory studies in Ukrainian history was chosen due to the ideological and, to some extent, the political context of the creation and subsequent construction of the image of Danylo Romanovych as «Prince Danylo Halytskyi» was not investigated in historiographical tradition.An important role is devoted to understanding the basic terms of memory discourse, which became the core of the implementation of the ideas of the author in the article. Also, some of the features of the creation of historical myths surrounding the biography of the ruler Danylo Romanovych should be discovered around the ruler’s biography in the process of forming a national identity. Due to the large number of anti-scientific names, the Medieval Ruler is deprived of a real source background. This led to the formation of a limited perspective of historical research, which reduces the cultural influence of his figure to a single Western Ukrainian region and does not allow to reconstruct fully the period of transformation of the Galicia-Volyn state into the Kingdom of Rus.The article also deals with the designing of the image of Danylo Romanovych in the historical representations of the Galician Russophiles, who managed to create a stable image of «Danylo Halytskyi» in the consciousness of the Ukrainian society. The author highlighted the peculiarities of the intellectual history of the representatives of the Ukrainian national movement in Galicia, especially Oleksandr Barvinskyi. The scientist tried to borrow the Russophile image of «Danylo Halytskyi» for his historical narrative of the Ukrainian past, by using the figure of the medieval Ruler as an element of the historical unity of the past of Galicia and Naddnipryanshchyna.

Usefulness of preset count acquisition in pediatric 99m Tc-DMSA planar imaging.

This study was aimed at determining the minimum acquisition count to provide diagnosable image quality (DIQ) and investigating the usefulness of preset count acquisition (PCA) for planar images of pediatric 99mTc-dimercaptosuccinic acid (DMSA) scintigraphy. First, we calculated a coefficient of variation (CV) for DIQ with the shortest acquisition time through visual evaluation in 12 pediatric patients who underwent 99mTc-DMSA scintigraphy. Second, a minimum acquisition count to achieve the CV for DIQ was determined with the single regression analysis using CV as an explanatory variable and the total acquisition count as an objective variable in 81 pediatric patients. Finally, we compared PCA images based on the minimum acquisition count and preset time acquisition (PTA) images for 5min in terms of the acquisition time, CV, and renal uptake ratio in another 23 pediatric patients. The visual evaluation showed that the CV corresponding to DIQ with the shortest acquisition time was 27.1%. The total acquisition count corresponding to DIQ was revealed to be 299,764 in the single regression analysis and was determined to be 300,000 after rounding. The CV and its standard deviation in PCA at 300,000 counts and PTA for 5min were 26.4 ± 0.6% and 24.8 ± 1.3%, respectively. The standard deviation of CV in PCA at 300,000 counts was smaller than that in PTA for 5min, indicating little variation in image quality between cases. The acquisition time in PCA at 300,000 counts (3.1 ± 0.7min) was shorter than that in PTA for 5min (5.0 ± 0.0min). The intraclass correlation coefficient between renal uptake ratios for PCA and PTA was 0.98, indicating an extremely high concordance. The minimum acquisition count required for the DIQ was 300,000. In addition, PCA at 300,000 counts was demonstrated to be useful by providing stable image quality at the shortest acquisition time.

Enhanced total variation minimization for stable image reconstruction

The total variation (TV) regularization has phenomenally boosted various variational models for image processing tasks. We propose to combine the backward diffusion process in the earlier literature on image enhancement with the TV regularization, and show that the resulting enhanced TV minimization model is particularly effective for reducing the loss of contrast. The main purpose of this paper is to establish stable reconstruction guarantees for the enhanced TV model from noisy subsampled measurements with two sampling strategies, non-adaptive sampling for general linear measurements and variable-density sampling for Fourier measurements. In particular, under some weaker restricted isometry property conditions, the enhanced TV minimization model is shown to have tighter reconstruction error bounds than various TV-based models for the scenario where the level of noise is significant and the amount of measurements is limited. The advantages of the enhanced TV model are also numerically validated by preliminary experiments on the reconstruction of some synthetic, natural, and medical images.

Efficient Management and Scheduling of Massive Remote Sensing Image Datasets

The rapid development of remote sensing image sensor technology has led to exponential increases in available image data. The real-time scheduling of gigabyte-level images and the storage and management of massive image datasets are incredibly challenging for current hardware, networking and storage systems. This paper’s three novel strategies (ring caching, multi-threading and tile-prefetching mechanisms) are designed to comprehensively optimize the remote sensing image scheduling process from image retrieval, transmission and visualization perspectives. A novel remote sensing image management and scheduling system (RSIMSS) is designed using these three strategies as its core algorithm, the PostgreSQL database and HDFS distributed file system as its underlying storage system, and the multilayer Hilbert spatial index and image tile pyramid to organize massive remote sensing image datasets. Test results show that the RSIMSS provides efficient and stable image storage performance and allows real-time image scheduling and view roaming.

Implant selection in natural and stable direct-to-implant reconstruction with ten steps at nipple-sparing mastectomy.

Direct-to-implant reconstruction is one of the breast repair techniques after mastectomy. Implant selection is critical in the short- and long-term success of direct-to-implant reconstruction after nipple-sparing mastectomy. In this study we developed a 10-step algorithm that we use before and during surgery. We aimed to obtain natural and stable breast reconstruction with this algorithm. In addition, we also aimed to evaluate which implants were selected using this algorithm and their short- and long-term outcomes. This retrospective study included 218 patients aged 27 to 60 years who underwent mastectomy and direct-to-implant reconstruction between November 2018 and December 2021. The patients were assigned into 4 groups according to amount of breast tissue removed. We developed a 10-step algorithm and these included: breast base, amount of breast tissue removed, evaluation of mastectomy skin flap, breast projection, ptosis, unilateral/bilateral reconstruction, chest wall deformity, patient's request, comorbid conditions and stabilization and arrangement of novel sulcus. The evaluation was made when the patient's photographs were taken at least 1 year after the surgery. The highest number of patients was recorded in group 3; in addition, mean age was also highest in group 3. The lowest number of patients was recorded in group 4. The body mass index showed a progressive increase from group 1 to group 4. Medium height moderate profile prosthesis was used in 81.7% while medium height moderate plus profile prosthesis was used in 18.3% of breasts included. We used larger prosthesis up to 58.1% when compared to the tissue removed in group 1 while we used smaller prosthesis by 25.6% in group 4. In the anterior view, the medial and lateral arch of the lower pole of the breast was obtained in all patients. Obvious asymmetry developed in 4 patients. In lateral and oblique views, upper and lower pole natural breast images were obtained in all patients, except for 5 patients. There was no sulcus inferior displacement in any patient. Implant extrusion did not occur in any patient. This algorithm is an easy to use and effective method to obtain a stable and natural breast image in the long-term.

Real-time semi-quantitative assessment of anastomotic blood perfusion in mini‑invasive rectal resections by Sidestream Dark Field (SDF) imaging technology: a prospective in vivo pilot study.

Anastomotic leakage (AL) is one of the severe complications after rectal surgery, and anastomotic ischemia is one of the main factors. This prospective in vivo pilot study aimed to evaluate the effectiveness of Sidestream Dark Field (SDF) imaging in quantitative assessment of anastomotic microcirculation and to analyze its correlation with AL. Thirty-three patients with rectal cancer who underwent laparoscopic low anterior resection from 2019 to 2020 were enrolled. Microcirculation was measured by SDF imaging at the descending colon, the mesocolon transection line (MTL), and 1cm and 2cm distal to the MTL. Anastomotic microcirculation was measured at the stapler anvil edge before anastomosis. Quantitative perfusion-related parameters were as follows: microcirculation flow index (MFI), perfused vessel density (PVD), proportion of perfused vessels (PPV), and total vessel density (TVD). All patients obtained stable microcirculation images. Functional microcirculation parameters (MFI, PPV, PVD) decreased successively from the descending colon, the colon at MTL, and 1cm and 2cm distal to the MTL (all P < 0.01). Extremely poor microcirculation was found at the intestinal segment 2cm distal to the MTL. Micro-perfusion was significantly lower at the colonic limb of the anastomosis compared with the descending colon (all P < 0.001). Anastomotic leakage occurred in 3 patients (9.1%) whose anastomotic microcirculation was significantly lower than those without AL (all P < 0.01). Blood perfusion at the colonic limb of the anastomosis was significantly higher in patients with left colic artery preservation than in controls. SDF imaging is a promising technique for evaluating anastomotic microcirculation and has potential clinical significance for risk stratification of AL.

Knowledge action vs. creative action: Devices of contrast between old and new in the architectural heritage recovery project

In a Casabella editorial from a few years ago, dedicated to the recovery of existing architectural heritage, Francesco Dal Co defined restorers as a corporation that considers itself the exclusive custodian of the knowledge, capable of scientifically resolving the conflicts that each restoration operation involves. Today, the perception is that restorers practice a profession different from that of architects: more than 20 years ago: Manfredo Tafuri noted that it was possible to observe a tendency toward the separation between restoration and conservation. Although the shared idea is that architecture is the result of successive modifications and never offers a stable image, the action of alteration of the built, especially the historicized one, takes place by appealing only to the scientific nature of a rigorous method that mortifies the creative act by losing the poetic root of our discipline. This type of conviction has led the discipline of architectural restoration through the tendency to make the cognitive phase coincide with the creative phase, in which the work itself suggests the design act. The project does not alter the image of the place or of the historicized asset but activates a process of crystallization of the existing, which proclaims conservation action as the only possible way: a heroic act of resistance. In the current urban scenario characterized by the “built paradigm,” the new seems to be conceived exclusively as a derivation of the existing. Augè defined the contemporary city as an immense ruin (“city worksite”) in which the unfinished and abandoned fragments of new constructions coexist with the ruins of the city of history and the ruins of the modern city. For these reasons, does it still make sense to distinguish the restoration project of a building from the project of a building? The contribution proposes a field of research that aims at the rapprochement between two disciplinary fields, architectural design and restoration, where the poetic root of the project returns to dialogue with the cognitive action on the asset and the application of scientific criteria for the consolidation and restoration of the elements.

전시컨벤션센터가 지역주민의 장소애착심과 공동체의식에 미치는 영향 연구 - 킨텍스(KINTEX)를 중심으로

The purpose of this study is to investigate the significant effects of local residents' place attachment and sense of community subject to exhibition and convention centers, with the focus on the relationship between the convention and exhibition center and the local residents, which is the foundation of its industry. In addition, this study is to find out the place meaning of the convention and exhibition center and to suggest that there is a strong connection between local residents and local community. With this point of view, the theory and measurement scale of the place affection which has been actively studied in the field of environmental psychology was applied to the convention and exhibition field. The place meaning in the convention and exhibition center was analyzed, and in addition, the relationship between sense of community was identified and the direction of the role of the convention and exhibition center to the local residents and community is proposed. This study used a total of 289 valid samples of surveys responded by the local residents over 20 years of old and above, living in west-Ilsan and east-Ilsan centering ‘KINTEX’ which is located in Goyang city in Gyeonggi province. As a result of structural equation model analysis using SPSS 25.0 and AMOS 22.0 programs, the factors such as place identity and place dependence from the place attachment has shown a significant impact on the effects of economic, social and cultural influences on the convention and exhibition center. On the other hand, the relationship between tourism influence factor and place attachment impact was not significant. As a result of analyzing the effect of place attachment on sense of community, both place identity and place dependence were all significant in sense of community. These results can be used as basic data to analyze the perception of local residents in the operation of the convention and exhibition center. Also, it is expected that the convention and exhibition center will continue to develop and serve as a medium to build a stable image and a differentiated characteristic of a location.

Central fixation detection with an open-frame retinal birefringence scanning system: Optics, optomechanics, polarization balancing aspects, computer modeling and simulation

There is a growing need to add a fast fixation-detection system or even an eye-tracking system to various diagnostic and some therapeutic ophthalmic technologies. For example, this would enable registration of stable images of the fovea. In recent years we have developed rapid technologies that detect the location of the fovea using retinal birefringence scanning (RBS). Yet, combining it with ophthalmic imaging technologies is not trivial, mainly because RBS employs polarized light and polarization-sensitive optics, while most ophthalmic imaging systems do not. Therefore, integrating these two types of systems optically poses a significant challenge, especially to the RBS system. Using principles from polarization optics and Mueller-matrix-based computer modeling for optimization, we developed a prototype of an open-frame RBS system as a potential adjunct fixation monitoring technology, with a promise to reduce the interference created by eye movements in advanced ophthalmic imaging technologies, such as optical coherence tomography, fluorescein angiography, scanning laser ophthalmoscopy, and others. Our technology is fast, does not need calibration, and uses true anatomical information from the retina for fixation detection. It enables adding fixation monitoring capabilities without having to modify the main imaging system, and has the potential to facilitate imaging without anesthesia in otherwise challenging subjects and/or patients, such as young children.

A new 2D-ASC chaotic system and its image encryption applications

In this paper, a new 2D Arnold-sin-coupling (2D-ASC) hyperchaotic map is established and a new image encryption algorithm based on bit-level operations and the ASC hyperchaotic system is proposed. The algorithm first decomposes a normal image into bit-level images by rows, incorporates a sequence of bits generated by a chaotic system to the algorithm to increase randomness and security, and then performs a circular shift of the rows and columns of the bit-level image to obtain a confused intermediate image. Finally, the intermediate image is diffused by our constructed S-box according to the size of each pixel value to obtain a stable and robust encrypted image. Moreover, the initial condition of the chaotic mapping used is calculated from the SHA-256 hash value of the original image, enhancing the correlation of the encryption process with the plaintext image. Through simulation experiments, the image encryption scheme is analyzed in terms of key space, histogram, information entropy, robustness and key sensitivity. The theoretical analysis and experimental findings demonstrate that the algorithm has good performance and sufficient level of security. The information entropy of the encrypted image is above 7.9993, the average NPCR is 99.6440 and the average UACI is 33.4996.

Image Quality Assessment of Deep Learning Image Reconstruction in Torso Computed Tomography Using Tube Current Modulation.

Novel deep learning image reconstruction (DLIR) reportedly changes the image quality characteristics based on object contrast and image noise. In clinical practice, computed tomography image noise is usually controlled by tube current modulation (TCM) to accommodate changes in object size. This study aimed to evaluate the image quality characteristics of DLIR for different object sizes when the in-plane noise was controlled by TCM. Images acquisition was performed on a GE Revolution CT system to investigate the impact of the DLIR algorithm compared to the standard reconstructions of filtered-back projection (FBP) and hybrid iterative reconstruction (hybrid-IR). The image quality assessment was performed using phantom images, and an observer study was conducted using clinical cases. The image quality assessment confirmed the excellent noise- reduction performance of DLIR, despite variations due to phantom size. Similarly, in the observer study, DLIR received high evaluations regardless of the body parts imaged. We evaluated a novel DLIR algorithm by replicating clinical behaviors. Consequently, DLIR exhibited higher image quality than those of FBP and hybrid-IR in both phantom and observer studies, albeit the value depended on the reconstruction strength, and proved itself capable of providing stable image quality in clinical use.

E. 호퍼의 회화에 나타난 이미지텔링

E. Hopper's paintings fascinate us focusing on strong colors, light, common places, and people’s gaze. This article dealing with his paintings is reviewed by W.J.T. Mitchell's picture theory. Mitchell analyses paintings under cultural relations and connected them to media, politic, history discourses. His abundant approaches of image give an important issue of imagetelling. As above, common places and people’s gaze are main elements on Hopper's paintings. Places represented nature and civilization encounters by light. Also people do not look at each other and look like being of self-alienation. To find out how the functions of his paintings are involved in imagetelling, this paper suggests stable images with informations quantity and remediated moving images. Even though modern society is definitely the age of image, image discourses are distributed in various areas. Therefore, imagetelling including the definition, status, functions of image and the method of perception and delivery, an interaction with consumers can be a humanistic discourse combining academic disciplines. This study explores imagetelling mainly regarding the functions and the method of delivery of image on Hopper's paintings.

Detection and Location of Steel Structure Trestle Surface Cracks Based on Consumer-grade Camera System

Because the steel structure trestle has been in service under heavy load for a long time, the steel structure trestle is prone to cracks around the welds or bolt holes, which can lead to structural collapse in severe cases. Aiming at the characteristics of stable and high-quality images obtained by the unmanned consumer-grade camera monitoring system, this paper proposed structure health monitoring (SHM) system which is based on consumer-grade camera. The SHM system can identify crack damage and locate steadily in long term, which provides the technical support of practical application in intelligent SHM system. The method first performed edge detection on the trestle structure, followed by pixel-level semantic segmentation and crack localization. Canny edge detection algorithm was used to identify trestle structures in the camera image. The panorama trestle structure was divided into areas of suitable size, and the camera focused on each divided area one by one. Then the improved DeepLab V3+ model was trained by constructing global and local datasets. Then the improved DeepLab V3+ model was used to perform pixel-level semantic segmentation on the trestle images of the divided regions. Finally, based on the Speeded Up Robust Features and combined with the image, a panorama crack location output method was proposed. The system was used to test a section of a trestle in a coal mining industrial park, and the system showed that the method could efficiently and accurately identify and locate the crack damage.

Reliable and stable fundus image registration based on brain-inspired spatially-varying adaptive pyramid context aggregation network.

The task of fundus image registration aims to find matching keypoints between an image pair. Traditional methods detect the keypoint by hand-designed features, which fail to cope with complex application scenarios. Due to the strong feature learning ability of deep neural network, current image registration methods based on deep learning directly learn to align the geometric transformation between the reference image and test image in an end-to-end manner. Another mainstream of this task aims to learn the displacement vector field between the image pair. In this way, the image registration has achieved significant advances. However, due to the complicated vascular morphology of retinal image, such as texture and shape, current widely used image registration methods based on deep learning fail to achieve reliable and stable keypoint detection and registration results. To this end, in this paper, we aim to bridge this gap. Concretely, since the vessel crossing and branching points can reliably and stably characterize the key components of fundus image, we propose to learn to detect and match all the crossing and branching points of the input images based on a single deep neural network. Moreover, in order to accurately locate the keypoints and learn discriminative feature embedding, a brain-inspired spatially-varying adaptive pyramid context aggregation network is proposed to incorporate the contextual cues under the supervision of structured triplet ranking loss. Experimental results show that the proposed method achieves more accurate registration results with significant speed advantage.

Classical imaging with undetected photons using four-wave mixing in silicon core fibers

Undetected-photon imaging allows for objects to be imaged in wavelength regions where traditional components are unavailable. Although first demonstrated using quantum sources, recent work has shown that the technique also holds with classical beams. To date, however, all the research in this area has exploited parametric down-conversion processes using bulk nonlinear crystals within free-space systems. Here, we demonstrate undetected-photon-based imaging using light generated via stimulated four-wave mixing within highly nonlinear silicon fiber waveguides. The silicon fibers have been tapered to have a core diameter of ∼ 915 nm to engineer the dispersion and reduce the insertion losses, allowing for tight mode confinement over extended lengths to achieve practical nonlinear conversion efficiencies ( ∼ − 30 dB ) with modest pump powers ( ∼ 48 mW ). Both amplitude and phase images are obtained using classically generated light, confirming the high degree of spatial and phase correlation of our system. The high powers ( &gt; 10 nW ) and long coherence lengths ( &gt; 4 km ) associated with our large fiber-based system result in high contrast and stable images.

Image and Kernel Representations for Variational Systems*

The Youla-Kucera parametrization, a method to parametrize all stabilizing controllers, is developed for linear and nonlinear systems based on their stable image and kernel representations. As a stepping stone of parametrizing nonlinear controllers for contraction, we investigate in this paper stable image and kernel representations for variational systems. In particular, we construct stable inner image (resp. co-inner kernel) representations having stable left (resp. right) inverses based on differential Riccati equations for contraction analysis.

Образные средства и их трансформация в рэп-текст

This article discusses the question of the functioning of figurative expressions in rap texts. At the moment there are no studies devoted to the evolution of artistic tropes in rap texts. The novelty of the research is seen in the fact that the study of stable images of Russian poetry, which are an integral part of the rap text, allows us to fully reveal the specifics of rap as a literary text. When describing the figurative means of rap texts and their transformations, traditional linguistic methods are used. The results of descriptive and analytical observation of the features of rap texts as literary texts, extralinguistic, linguistic factors influencing the imaginative potential of rap texts are presented. Special attention is paid to the characteristics of the most striking trends observed in the evolution of tropes. Significant lexemes involved in the formation of typical frequency stable images are highlighted. New elements in the composition of traditional metaphors and comparisons are analyzed, as well as figurative parallels associated with a change in the nature of genus-differentia relations. One of the ways to systematize the material is the description of semantic classes: based on the material of the texts of the rap artist Pyrokinesis, 7 main groups are identified, representing typical cases of traditional metaphors and comparisons in rap texts.

Леконт де Лиль в русской литературной критике 1880-х – начала 1910-х гг.

The article examines the evolution of the perception of the works of Charles Leconte de Lisle in Russian literary criticism in the late 1880s – early 1910s. The chronological framework of the study is due to the fact that in 1889 the first detailed analysis of works by Leconte de Lisle appeared and, in the 1890s, Russian symbolists paid attention to the French poet; the other chronological boundary was caused by the crisis and end of Russian symbolism in in the late 1900s and early 1910s. Using the historical comparative method, the author analyzes articles by Maria Frishmut, Dmitry Merezhkovskiy, Valery Bryusov, Innokentiy Annenskiy, fully or partially dedicated to Leconte de Lisle. The author discovers that Russian critics relied on French critical works on Leconte de Lisle: critics saw his poetry as cold, dispassionate, objective (nonpersonal), possessing the perfection of a poetic form close to sculpture and painting. While Frishmut uses the judgments of his French predecessors, relying primarily on Paul Bourget, the symbolists put works of Leconte de Lisle in the context of the genealogy of Russian symbolism. Merezhkovskiy in the 1890s leads the genealogy of the symbolists from Leconte de Lisle. Bryusov considered Leconte de Lisle a classic and a representative of a certain line in poetry characterized by a careful accomplishing of a poetic form. The author pays particular attention to the evolution of the perception of Leconte de Lisle in Annenskiy’s literary criticism. She shows that Annenskiy developed his aesthetic concepts on the basis of Leconte de Lisle’s works and infers that in the late 1890s–1900s, during the period of the formation of symbolism, Annensky formed the concept of art as a symbol based on Leconte de Lisle’s works and in the late 1900s, in the period of the crisis of symbolism and the appeal to extra-aesthetic reality, considered Leconte de Lisle in the appropriate categories, seeing his tragedy in the fact that in his work he turned away from life and always talked about death. A statue is a stable image in Annenskiy’s articles that mention Leconte de Lisle; for the critic, a statue as a perfection of form and a classic monument corresponds to all Leconte de Lisle’s works and his place in the history of literature.