DSLR Camera Research Articles

Self-Supervised Single-Image Depth Estimation From Focus and Defocus Clues

Self-supervised depth estimation has recently demonstrated promising performance compared to the supervised methods on challenging indoor scenes. However, the majority of efforts mainly focus on exploiting photometric and geometric consistency via forward image warping and backward image warping, based on monocular videos or stereo image pairs. The influence of defocus blur to depth estimation is neglected, resulting in a limited performance for objects and scenes in out of focus. In this work, we propose the first framework for simultaneous depth estimation from a single image and image focal stacks using depth-from-defocus and depth-from-focus algorithms. The proposed network is able to learn optimal depth mapping from the information contained in the blur of a single image, generate a simulated image focal stack and all-in-focus image, and train a depth estimator from an image focal stack. In addition to the validation of our method on both synthetic NYUv2 dataset and real DSLR dataset, we also collect our own dataset using a DSLR camera and further verify on it. Experiments demonstrate that our system surpasses the state-of-the-art supervised depth estimation method over 4% in accuracy and achieves superb performance among the methods without direct supervision on the synthesized NYUv2 dataset, which has been rarely explored.

Evaluation of the distortion of photographs using various focal lengths.

It is of interest to evaluate the distortion of intraoral frontal photographs using various focal lengths. Intra-oral frontal view pictures of 20 subjects were taken using a standard 18-55mm lens of a DSLR camera at three different focal lengths (18mm, 35mm, 55mm). 52 experienced orthodontists were chosen and they were asked to assess the photographs and choose the one with the least amount of distortion. Majority of the orthodontists selected the frontal photograph taken at a focal length of 35mm as the best photo with the least distortion among the three photographs. The photos taken at a focal length of 35 mm showed the least amount of distortion.

High Spatial-Resolution Digital Phase-Stepping Shearography.

Digital phase-stepping shearography is a speckle interferometric technique that uses laser speckles to generate the phase map of the displacement derivatives of a stressed object, and hence can map the stresses of a deformed object directly. Conventional digital phase-stepping shearography relies on the use of video cameras of relatively lower resolution, in the order of 5 megapixels or lower, operating at a video rate. In the present work, we propose a novel method of performing high spatial resolution phase stepping shearography. This method uses a 24 megapixel still digital imaging device (DSLR camera) and a Michelson-type shearing arrangement with an edge-clamped, center-loaded plate. Different phase-stepping algorithms were used, and all successfully generated shearograms. The system enabled extremely high-resolution phase maps to be generated from relatively large deformations applied to the test plate. Quantitative comparison of the maximum achieved spatial resolution is made with the video-rate cameras used in conventional shearography. By switching from conventional (video) imaging methods to still imaging methods, significantly higher spatial resolution (by about 5 times) can be achieved in actual phase-stepping shearography, which is of great usefulness in industrial non-destructive testing (NDT).

Evaluation of Elastomeric Impression Materials' Hydrophilicity: An in vitro Study.

IntroductionHydrophilicity of dental impression materials is crucial for obtaining an accurate impression and necessary for the production of a well-fitting cast restoration. The most common technique for evaluation of hydrophilicity is a contact angle measurement. The aim of the present in vitro study was to compare the water contact angles of four groups of elastomeric impression materials, before and during setting.Material and methodsFlattened specimens (n=10) of tested impression materials were prepared by the use of a Teflon mold with specific dimensions. A 5μl droplet of deionized water fell on the specimen, and photos were taken using a Nikon D3200 DSLR camera and a 105 mm macro lens (Nikorr, Nikon) in specific time points.ResultsThe CAD/CAM material showed the highest contact angle measurements. The light body polyvinylsiloxane (PVS) material 1, polyether and vinylsiloxanether material showed comparable contact angle measurements especially at the initial time point. A statistically significant reduction of contact angles was reported during setup time for all PVS, PE and vinylsiloxanether materials, while the most expressed reduction of contact angle measurements, and thus the most significant increase of hydrophilicity were reported for light wash PVS material 2.ConclusionsThe CAD/CAM impression material showed the most hydrophobic behavior. PVS materials showed excellent hydrophilicity. Polyether and polyvinyloxanether impression materials presented lower contact angle measurements, and thus superior hydrophilicity, compared with other tested materials initially and during setting. All tested impression materials presented a stepwise development of hydrophilicity during the setting stage.

English

BACKGROUND Orthodontics has witnessed a paradigm shift in the perception of aesthetics. Soft tissue assessment and correction has become a greater concern when compared with dental and skeletal correction. In the current era, pleasing profile is a prime requisite. The purpose of this study is to evaluate different parameters responsible for perception of a pleasing profile. METHODS Hundred dental students with well-balanced faces were selected. Profile photographs of participants were taken by DSLR camera maintaining standardized photography protocol. The principal investigator had measured ten soft tissue parameters for each profile photograph. These profile photographs were further converted into profile silhouettes. 10 laypersons appraised each profile silhouette using visual analog scale (VAS). The obtained scores were again correlated with photographic measurements of each individual to identify role of different parameters responsible for pleasing profile. RESULTS When comparing the data statistically, significant differences were found amongst the parameters between less attractive and more attractive profile; parameters include facial convexity angle, naso-labial angle, protrusion of lip relative to each other, vertical lip to chin ratio and vertical height ratio. CONCLUSIONS It was clear from this study that, amongst individuals with normal overjet, overbite and a pleasing profile, those subjects with more obtuse facial convexity angle, obtuse nasolabial angle, slightly more protruded upper lip than lower lip, equivalent vertical height ratio, and smaller lip-chin ratio vertically, were found to be more attractive, as perceived by laypersons. KEY WORDS Parameters, Photographic Soft Tissue Analysis, Silhouette Study, Pleasing Profile

Tensile Creep of Cement and Concrete Composites: Monitoring by Means of 2D-Digital Image Correlation

Creep and shrinkage of Cement and Concrete Composites (CCC) are significant properties that need to be considered to use these materials in practice. Many previous scientific studies revealed CCC creep characteristics under sustained compression and shrinkage, using traditional test methods from design standards. Because of the complexity of experimental procedures, CCC creep in tension has not been studied as close. Furthermore, there is no unified standard that proposes applicable testing methods or specific testing apparatus. This study examines the suitability of 2D—Digital Image Correlation (DIC) to observe the creep deformations of specimens under tension. Ordinary Portland cement (OPC) mortar with 1% polyvinyl alcohol (PVA) fibres has been investigated in the research. Compact tension (CT) specimens 150 × 150 × 12 mm (with a notch) were used. Creep deformations under sustained uniaxial tension (applied loading corresponding to 60% of the ultimate strength) were measured. DIC images were captured using an entry/mid-level DSLR camera. Results show that DIC is suitable for studying uniaxial tensile creep of cement and concrete composites. Deformation of specimens in tension was similar to that measured using the conventional method (using surface-attached gauges).

Colour remote sensing of the impact of artificial light at night (II): Calibration of DSLR-based images from the International Space Station

Nighttime images taken with DSLR cameras from the International Space Station (ISS) can provide valuable information on the spatial and temporal variation of artificial nighttime lighting on Earth. In particular, this is the only source of historical and current visible multispectral data across the world (DMSP/OLS and SNPP/VIIRS-DNB data are panchromatic and multispectral in the infrared but not at visible wavelengths). The ISS images require substantial processing and proper calibration to exploit intensities and ratios from the RGB channels. Here we describe the different calibration steps, addressing in turn Decodification, Linearity correction (ISO dependent), Flat field/Vignetting, Spectral characterization of the channels, Astrometric calibration/georeferencing, Photometric calibration (stars)/Radiometric correction (settings correction - by exposure time, ISO, lens transmittance, etc) and Transmittance correction (window transmittance, atmospheric correction). We provide an example of the application of this processing method to an image of Spain.

English

BACKGROUND Visual selection by using shade guides is the most common but also the most subjective technique, influenced by factors such as the age of the observer and eye fatigue. Digital imaging provides a practical and consistent method of determining tooth colour. A suitable alternative for DSLR cameras may be a mobile phone camera. Recent smart phones have manual control which helps to manually adjust parameters. Female patients usually use lipstick, which may alter the tooth colour perception, but there is no clinical evidence showing the effect of lipstick on tooth shade. The purpose of this study was to evaluate the reliability of using phone camera and the effect of lipstick on the shade of the tooth. METHODS This study was conducted on 11 female individuals within the age of 18 - 25 years. Eight photographs were made of all 11 participants, using 3 different smart phone cameras and Nikon D3400 DSLR camera with twin flash and cross-polaroid filter was used as the control group. The parameters of all the cameras were standardized for every image. All digital photographs were evaluated with a Digital Colour Meter software, which gave the parameters in the RGB colour codes and CIE L, a*b* colour space. RESULTS There was no statistically significant difference in the L* and R* values between the control and the smartphone camera groups. There was no statistically significant difference in L* and R* values before and after applying lipstick in all the groups. There was no significant difference in L* and R* values in all the groups before and after applying lipstick. CONCLUSIONS Recent smartphone cameras with manually adjusted parameters including unprocessed or RAW images can be used as a reliable tool for shade matching. Shade matching can be done even after applying lipstick, as there was no difference seen in this study. KEY WORDS Esthetics, Shade, Lipstick, Spectophotometer, Shade

Kerosene-water counter-current two-phase flow-structures varying flow-orientation in 15 mm diameter duct

Experimentations are conducted, and kerosene-water counter-current two-phase flow-structure in a duct of 15 mm diameter are identified, categorized, and characterized in five duct-orientations for different combinations of kerosene and water superficial velocities. Some unique counter-current liquid-liquid flow-structures, which have not yet been reported till date, are found through the present experimental investigation. Flow-structures’ interfacial distributions and highly time-varying attributes are captured using a high-resolution DSLR camera and a high-speed video camera, respectively, to distinguish and identify them. The subjective descriptions may confuse the observer. Thus, the objective interpretations of the flow-structures are collected as time-series current and voltage signals using a DPT and in-house fabricated conductivity probes, respectively. Statistical analyses of the time-series data are performed, and statistical parameters are extracted using MATLAB coding. The flow-structures are successfully parameterized and characterized in terms of the ‘non-parametric probability distribution (NPPD)’ plots and those statistical parameters of the objective signatures. These extracted NPPD plots and statistical parameters are found to be very useful for recognizing and distinguishing the individual flow-structures.

Lanterns in Marrakesh.

Description This photo was taken in Marrakesh, Morocco in 2014. I decided to travel there after a few friends inspired me with their descriptions of a beautiful desert-filled country with kind people, mountains and incredibly delicious food. For me, traveling is truly food for the soul. It allows you to break out of the monotony of work-life and potentially step outside of your comfort zone. I absolutely love exploring various cultures and over the course of my life I have traveled to over thirty countries and have back-packed numerous countries solo. There's no better feeling than embarking on an adventure free of rules and schedules, meeting people from all walks of life and cultures and exploring the beauty of our planet. My days of photography really started with making films of my travels. Capturing special moments with the camera produces a memory that will live on forever. I enjoy making films and choosing music for films almost as much as I enjoy practicing medicine! Photography is a challenging art and science. It takes years to master DSLR cameras and editing programs, but nowadays you really don't need any of that to capture a special moment, all you need is your phone! I highly recommend stepping out of your comfort zone and hitting the road. And if the time is right, get the camera out so you and your family can relive all of the special moments that make up your life.

TOWARDS FREE-VIEWPOINT VIDEO CAPTURE IN CHALLENGING ENVIRONMENTS FOR COLLABORATIVE & IMMERSIVE ANALYSIS

Abstract. The ability to capture and explore complex real-world dynamic scenes is crucial for their detailed analysis. Tools which allow retrospective exploration of such scenes may support training of new employees or be used to evaluate industrial processes. In our work, we share insights and practical details for end-to-end acquisition of Free-Viewpoint Videos (FVV) in challenging environments and their potential for exploration in collaborative immersive virtual environments. Our lightweight capturing approach makes use of commodity DSLR cameras and focuses on improving both density and accuracy of Structure-from-Motion (SfM) reconstructions from small sets of images under difficult conditions. The integration of captured 3D models over time into a compact representation allows for efficient visualization of detailed FVVs in an immersive multi-user virtual reality system. We demonstrate our workflow on a representative acquisition of a suction excavation process and outline a use-case for exploration and interaction between collocated users and the FVV in a collaborative virtual environment.

KLARIFIKASI KEMATANGAN BUAH NANAS DENGAN RUANG WARNA HUE SATURATION INTENSITY (HSI)

Pineapple fruit is included in the type of tropical fruit, which is quite popular because it contains a lot of Vitamin C, which is quite high. Pineapple is a local fruit in the Kampar area, this fruit can be consumed directly and become other local processed products. Therefore, the quality of pineapple ripeness must be maintained. The problem that occurs at this time is that the pineapple fruit selection process is still done manually, by looking at it visually, so mistakes can occur in the process of clarifying pineapple fruit identification according to standards. Therefore, it is necessary to research the ripeness of pineapples using the Color Space Algorithm Hue Saturation Intensity (HIS). The variables to be input are based on photos of ripe, half ripe, and raw pineapples using a smartphone camera or DSLR camera with a minimum resolution of 8 MP. Clarifying the results with image processing and Hue Saturation Intensity (HIS) transformation has an accuracy rate of 80% for the 20 image test data. So that the expected results can help pineapple farmers in detecting the level of maturity of pineapple fruit, which is difficult, can minimize errors in determining the ripeness of pineapple fruit

التصویر المساحى الفوتوغرافی التحتمائى (الفوتوجرامترى): نموذج رقمى ثلاثى الأبعاد لدراسة الموقع الأثری المغمور تحت الماء لفنار الإسکندریة القدیم بجوار قلعة قایتباى.

يعد التصوير المساحى الفوتوغرافي التحتمائى (الفوتوجراميترى) احد التقنيات الجديدة في مجال الآثار الغارقة في مصر, حيث تم تطبيقه لأول مرة على الموقع الأثري المغمور تحت الماء والمعروف باسم موقع فنار الإسکندرية القديم الذى کان يقع على الطرف الشرقي لجزيرة فاروس القديمة بجوار قلعة قايتباي من الجهة الشرقية على عمق يتراوح بين 2 إلى 9 أمتار. وفي عام 2009/2010، قام المرکز الفرنسى للدراسات السکندرية CEAlex بوضع برنامجا لجمع بيانات باستخدام تقنية المساحة التصويرية (الفوتوجراميترى) لعمل نموذج للقطع الأثرية المکسورة , کالأعمدة وبعض التماثيل , ومحاولة اعادة تجميعها باستخدام الواقع الافتراضي فى شکل نموذج رقمى ثلاثي الأبعاد. ولکن في عام 2013 وبداية عام 2014 ، وبدعم من مؤسسة هونور فروست Honor Frost Foundation، تم تطوير وتحسين الأساليب المستخدمة فى التوثيق الفوتوجراميترى التحتمائى للحصول على صورة فوتوغرافية متکاملة للموقع المغمورتحت الماء بجوار قلعة قايتباي بالمجهودات اليدوية البسيطة وذلک باستخدام کاميرا DSLR وبعض المواد والأدوات البسيطة ومنخفضة التکلفة للحصول على نموذج رقمي ثلاثى الأبعاد لموقع الفنار المغمور، وأيضا لعمل نماذج ثلاثية الأبعاد لبعض القطع الأثرية، مثل التماثيل، وقواعد التماثيل وکذلک بعض العناصر المعمارية. نقدم في هذه الورقة البحثية أهمية طرق التصوير التحتمائى فى مجال الآثار الغارقة ثم کيفية معالجة البيانات من أجل إنشاء نموذج رقمى ثلاثى الأبعاد للموقع المغمور لفنار الإسکندرية القديم . حيث ان هذا التوثيق يعد مرحلة مهمة ومتقدمة فى دراسة الموقع الأثرى. حتى عام 2016 قد تم تصوير حوالي 7200 متر مربع فقط من مساحة الموقع المغمور ، والذي يتجاوزمساحته أکثر من 13000 متر مربع. Underwater photogrammetry: 3D Model for studying the submerged archaeological site of the ancient lighthouse of Alexandria near Qaitbay fort Abstract: Underwater photogrammetry is completely a new experience in underwater archaeology in Egypt, applied for the first time on the submerged archaeological site of the lighthouse of Alexandria situated on the eastern extremity of the ancient island of Pharos at the foot of Qaitbay Fort on a depth of 2 to 9 meters. In 2009/2010, the CEAlex launched a 3D photogrammetry data-gathering programme for the virtual reassembly of broken artefacts like columns and some statues, But In 2013 and the beginning of 2014, with the support of the Honor Frost Foundation, methods were developed and refined to acquire manual photographic data of the entire underwater site of Qaitbay using a DSLR camera, simple and low cost materials to obtain a digital surface model (DSM) of the submerged site of the lighthouse, and also to create 3D models of the objects themselves, such as statues, bases of statues and architectural elements. In this paper we present the methodology used for underwater data acquisition, data processing and modelling in order to generate a DSM of the submerged site of Alexandria’s ancient lighthouse. Until 2016, only about 7200 m2 of the submerged site, which exceeds more than 13000 m2, was covered

AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery.

Plant diseases can cause a considerable reduction in the quality and number of agricultural products. Guava, well known to be the tropics’ apple, is one significant fruit cultivated in tropical regions. It is attacked by 177 pathogens, including 167 fungal and others such as bacterial, algal, and nematodes. In addition, postharvest diseases may cause crucial production loss. Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers’ improper use of pesticides. Automatic detection of diseases in plants once they emerge on the plants’ leaves and fruit is required to maintain high crop fields. In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. The proposed framework employs the E color difference image segmentation to segregate the areas infected by the disease. Furthermore, color (RGB, HSV) histogram and textural (LBP) features are applied to extract rich, informative feature vectors. The combination of color and textural features are used to identify and attain similar outcomes compared to individual channels, while disease recognition is performed by employing advanced machine-learning classifiers (Fine KNN, Complex Tree, Boosted Tree, Bagged Tree, Cubic SVM). The proposed framework is evaluated on a high-resolution (18 MP) image dataset of guava leaves and fruit. The best recognition results were obtained by Bagged Tree classifier on a set of RGB, HSV, and LBP features (99% accuracy in recognizing four guava fruit diseases (Canker, Mummification, Dot, and Rust) against healthy fruit). The proposed framework may help the farmers to avoid possible production loss by taking early precautions.

Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory.

Nowadays the use of remote monitoring sensors is a standard practice in landslide characterization and monitoring. In the last decades, technologies such as LiDAR, terrestrial and satellite SAR interferometry (InSAR) and photogrammetry demonstrated a great potential for rock slope assessment while limited studies and applications are still available for ArcSAR Interferometry, Gigapixel imaging and Acoustic sensing. Taking advantage of the facilities located at the Poggio Baldi Landslide Natural Laboratory, an intensive monitoring campaign was carried out on May 2019 using simultaneously the HYDRA-G ArcSAR for radar monitoring, the Gigapan robotic system equipped with a DSLR camera for photo-monitoring purposes and the DUO Smart Noise Monitor for acoustic measurements. The aim of this study was to evaluate the potential of each monitoring sensor and to investigate the ongoing gravitational processes at the Poggio Baldi landslide. Analysis of multi-temporal Gigapixel-images revealed the occurrence of 84 failures of various sizes between 14–17 May 2019. This allowed us to understand the short-term evolution of the rock cliff that is characterized by several impulsive rockfall events and continuous debris production. Radar displacement maps revealed a constant movement of the debris talus at the toe of the main rock scarp, while acoustic records proved the capability of this technique to identify rockfall events as well as their spectral content in a narrow range of frequencies between 200 Hz to 1000 Hz. This work demonstrates the great potential of the combined use of a variety of remote sensors to achieve high spatial and temporal resolution data in the field of landslide characterization and monitoring.

Low-Cost Prototype to Automate the 3D Digitization of Pieces: An Application Example and Comparison.

This work is aimed at describing the design of a mechanical and programmable 3D capturing system to be used by either 3D scanner or DSLR camera through photogrammetry. Both methods are widely used in diverse areas, from engineering, architecture or archaeology, up to the field of medicine; but they also entail certain disadvantages, such as the high costs of certain equipment, such as scanners with some precision, and the need to resort to specialized operatives, among others. The purpose of this design is to create a robust, precise and cost-effective system that improves the limitations of the present equipment on the market, such as robotic arms or rotary tables. For this reason, a preliminary study has been conducted to analyse the needs of improvement, later, we have focused on the 3D design and prototyping. For its construction, there have been used the FDM additive technology and structural components that are easy to find in the market. With regards to electronic components, basic electronics and Arduino-based 3D printers firmware have been selected. For system testing, the capture equipment consists of a Spider Artec 3D Scanner and a Nikon 5100 SLR Camera. Finally, 3D models have been developed by comparing the 3D meshes obtained by the two methods, obtaining satisfactory results.

Application of Wind Tunnel Device for Evaluation of Biokinetic Parameters of Running

The aim of the study was the application of high-tech wind tunnel device to identify the changes in the biokinetic parameters of running performed on the specially designed treadmill. The research was carried out in the “Planica Nordic Centre—PNC” in the wind tunnel system, where the AirRunner Assault treadmill, which was equipped with four sensors measuring the vertical and horizontal ground reaction forces, was installed. To obtain biokinetic data, the runners performed the treadmill’s run under conditions of airflow directed at each participant’s back (backwind speeds +3 m/s and +5 m/s) and the chest (headwind speeds −5 m/s and −7 m/s). The runner’s speed was measured via image analysis using a DSLR camera and markers on the belt of the treadmill. Additionally, a high-speed camera synchronised to the force acquisition system was used to analyse the contact phase via comparison of foot placement and time series of the ground reaction forces. The contact phases of the running step were found to be longer than the flight phases, with their duration ranging from 0.15 to 0.20 s and the maximum forces at take-off were found to be greater than when running with the backwind. It should be noted that the application of high-tech devices wind tunnel and treadmill were found to be sufficiently accurate to perform kinetic measurements of running parameters in changing conditions, such as resistance and assistance (facilitating).

Simple and Cost-Efficient Classification of Ballpoint Pen Inks Using Digital Color Analysis.

We report here a simple and cost-effective technique for classification of the samples of writing inks based on their digital color analysis (DCA). The dynamics of artificial aging of writing inks under UV irradiation was studied by means of DCA for the first time. The color of ballpoint pen marks was recorded over time using an ordinary consumer DSLR camera. The inks were classified according to the parameters of their color degradation curves with precision superior to conventional Raman scattering method, which serves as a proof-of-concept of the proposed approach. The reported approach has broad prospects for implementation by criminalists for document investigation when document forgery is suspected. The proposed technique can be of interest not only in the field of forensic science but also for those who deal with dyes and dye-containing materials and their degradation over time as well as for the study of any processes, the evolution of which is reflected in a color change.

COMPARISON BETWEEN MOBILE CAMERA AND DSLR CAMERA PHOTOGRAPHY FOR THE EVALUATION OF SHADE OF ANTERIOR TEETH - A CROSS-SECTIONAL STUDY

Background: Color accuracy plays a major role in creating an esthetic prosthesis. Photos taken with DSLR cameras have been the most frequent means of recording and transferring the color of teeth. Mobile phone cameras are emerging as a popular alternative to DSLR cameras due to its convenience. Our aim was to compare the color difference (ΔE) between the pictures taken with DSLR cameras and mobile cameras with and with­out using flash. 
 Methods: Photos of right maxillary central incisors of patients (n=60) were taken with DSLR camera and mobile camera with and without using flash. The pictures were standardized with gray card and processed in Adobe Photoshop Lightroom CC software and the L*a*b* values of the pictures were compared to find the difference in color. 
 Results: The percentage of agreement (ΔE≤2.7) for the difference of color between DSLR camera and mobile phone cameras without using flash (ΔE1) was 3.3% and with using flash (ΔE2) was 1.7%. The coefficient of agreement (using Kappa coefficient) between (ΔE1) and (ΔE2) showed total disagreement (kappa value =-.02). The mean values of ΔE1 was (8.3±3.3) and ΔE2 was (7.23±2.4). 
 Conclusions: It was concluded that the color of mobile camera with or without using flash could not be considered as an acceptable method of recording color of teeth.

First report of morphometrics and length-length relationships of the common grass yellow butterfly, Eurema hecabe (L.) (Lepidoptera: Pieridae)

The present investigation was conducted to study the morphometrics and length-length relationships (LLRs) of the Common Grass Yellow Butterfly, Eurema hecabe (L.) (Lepidoptera: Pieridiae). Samples were collected randomly from the Rajshahi University Campus (RUC), Bangladesh, and the pictures were taken with a DSLR camera (Canon 750D) and measured using ImageJ software (l.48v). Here, a total of 14 different morphometric lengths viz. total body, antenna, wings (fore- and hindwing) and legs (fore-, mid- and hindleg) were evaluated. Total length (TL) was recorded as a minimum of 11.51 mm and a maximum of 22.01 mm, whereas antenna length (AL) has differed from 5.78-8.68 mm. The highest morphometric mean was found in forewing base-apex (FWBA) as 21.45±2.21 mm, and the lowest mean of length was recorded in the hindleg (HL) as 6.21±0.67 mm. The FWBA was larger than the TL about 33% followed by the forewing base-tornus (FWBT), hindwing base-apex (HWBA), hindwing base tornus (HWBT) and forewing cubitus2 vein (C2V). According to co-efficient of determination (r2) values, the best-fitted model of LLRs was TL vs. foreleg (FL) among 13 equations. The allometric coefficient ‘b’ was suggested positive allometric growth. These works will be very useful for species recognition and taxonomic study of butterflies in the RUC as well as in Bangladesh.