Graphics Processing Technology Research Articles

Research on Weed Reverse Detection Methods Based on Improved You Only Look Once (YOLO) v8: Preliminary Results

The rapid and accurate detection of weeds is the prerequisite and foundation for precision weeding, automation, and intelligent field operations. Due to the wide variety of weeds in the field and their significant morphological differences, most existing detection methods can only recognize major crops and weeds, with a pressing need to enhance accuracy. This study introduces a novel weed detection approach that integrates the GFPN (Green Feature Pyramid Network), Slide Loss, and multi-SEAM (Spatial and Enhancement Attention Modules) to enhance accuracy and improve efficiency. This approach recognizes crop seedlings utilizing an improved YOLO v8 algorithm, followed by the reverse detection of weeds through graphics processing technology. The experimental results demonstrated that the improved YOLO v8 model achieved remarkable performance, with an accuracy of 92.9%, a recall rate of 87.0%, and an F1 score of 90%. The detection speed was approximately 22.47 ms per image. And when shooting from a height ranging from 80 cm to 100 cm in the field test, the crop detection effect was the best. This reverse weed detection method addresses the challenges posed by weed diversity and complexities in image recognition modeling, thereby contributing to the enhancement of automated and intelligent weeding efficiency and quality. It also provides valuable technical support for precision weeding in farmland operations.

Convolution Neural Networks for Disease Prediction: Applications and Challenges

More people are using Deep Learning techniques in the healthcare field as a result of the quick development in domains like Computer Vision, Graphics Processing Technology, and the accessibility of medical imaging datasets. Convolutional Neural Networks (CNNs), in particular, have quickly emerged as the preferred technique for processing clinical data. CNN-based designs have been embraced by the diagnostic imaging group to assist physicians with disease identification. Since AlexNet's enormous success in 2012, CNNs have indeed been employed more and more in the analysis of medical images to boost the effectiveness of physicians. This article summarises various CNN architectures for predicting medical diseases and their challenges. We examine the utilization of Deep Learning for the prediction of various diseases, including Brain diseases, Diabetic Retinopathy, and Lung cancer. This research also provides a survey of datasets available for analysis.

The Application of Image Graphic Visual Communication Techniques in Artistic Creation from the Perspective of Digital Media

Abstract This paper first studies the connection between computer image graphics and visual communication and analyses the use of image graphics and visual communication technology in artistic creation. It denoises the image and proposes a method for enhancing blurred light images based on visual communication technology. It also outlines the process of applying computer graphic image processing technology to the field of visual communication design. Then VR technology is combined with visual communication and art design, a 3D image virtual reconstruction system based on visual communication effects is designed, and a 3D image graphical visual art creation method is constructed. Finally, we analyzed the impact of virtual reality art creation in terms of aesthetic evaluation, experience impact, and satisfaction. The results showed that the simple main effect of expression was significant when intensity was perceived for three different types of emotions, as shown by the simple effect analysis of expression on the type of emotion, which were FA(2, 160)=43.05, p<0.001, FB(2, 160)=10.45, p<0.001, and FA*B(2, 160)=12.36, p <0.001. This study complements the research on virtual aesthetics and, at the same time, provides a new research direction for the diversified and integrated development of art.

Retraction Notice: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology

Retraction Notice: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology

Application of traditional culture in modern cultural and creative product design in the era of artificial intelligence

Abstract This paper obtains design demand keywords from online review data of cultural and creative products and builds a framework of modern cultural and creative product design demand in the era of artificial intelligence by combining with consumption intention. Oriented to integrating traditional culture in the design of cultural and creative products, the graphic image processing technology is used to extract conventional cultural elements and optimize the pattern and image enhancement of cultural and creative products. Then the parametric technology is used to transform the design of traditional cultural symbols and elements. Setting satisfaction scores from five aspects: color, shape, material, function and cultural connotation, using satisfaction index to score the cultural and creative products of traditional culture, and carrying out the test of conventional cultural imagery conveyance of cultural and creative products, “artistic,” “full of representative significance The mean values of “artistic”, “representative” and “cultural value” are 4.573, 4.602, 4.518, and the P value is 0.000, which is significant, and the integration of the essential visual characteristics of the theme design of the cultural and creative products is effective. The works combined with the modern cultural and creative product design framework can highlight the traditional cultural qualities.

Applications of Computer Graphics and Image Processing Technology in Computer Applications

Applications of Computer Graphics and Image Processing Technology in Computer Applications

Research on Computer Graphics Processing Technology Based on GIS Model and Its Application

Abstract In this paper, for the remote sensing images acquired under the GIS model, the wavelet thresholding denoising method is used to reduce the noise to improve the quality of computer images, combined with the image filtering method to complete the grayscale preprocessing of the image, and fused different operators to extract the edge features. To improve image alignment and decrease the amount of splicing calculations, a proposed raster DEM data fusion and splicing algorithm utilizes image feature information. An experimental environment has been created for preprocessing computer vision images by comparing peak signal-to-noise values at different levels to find the best parameters for wavelet thresholding denoising. The feasibility of the preprocessing method in this paper is tested by placing unpreprocessed and preprocessed images in DeepLabv3 and DAM-DeepLab models for training purposes. Test the effectiveness of this paper’s algorithm for fuzzy image target feature description by simulated image edge extraction process. Real-time and effective evaluation of image stitching verifies the reliability of the algorithm. The data show that the splicing results of the four different methods under different scene images are 6.6932 for the global transform algorithm, 6.6831 for the APAP algorithm, 6.6449 for the AANAP algorithm, and 6.6948 for the algorithm of this paper. This paper’s algorithm has seen an improvement in average information entropy by 0.16%, 1.17%, and 4.99% when compared to other algorithms. The theory of graphics application technology within GIS is enriched through the study of computer graphics processing technology within the GIS model.

Application of graphic image processing technology in 2D game interface design

Abstract This paper uses big data information processing techniques for the underlying algorithm of interface interaction, calculates the number of game interface data points, and satisfies the hierarchical feature distribution of interface interaction. Using cross-compilation for information clustering, identifying fuzzy clustering central function feature classification, describing the underlying data statistical independent variables, and extracting graphical local feature information. Balancing constraint encoding and dictionary coefficient weighting parameters, processing edge feature images, and matching grayscale transformed image effects are conveyed. The results show that the image graphics technology has an accuracy rate of 87.25% for image recognition, the user satisfaction rate for the 2D game design interface is 78.60%, and users aged 30-40 are the largest group of game consumers. It indicates that graphic image processing technology can collect and obtain relevant information and data, thus providing important technical support for the development of the social game industry and promoting the deepening development of an information society.

Research on Landscape Architecture Modeling Simulation System Based on Computer Virtual Reality Technology

This paper develops a three-dimensional garden landscape design simulation system based on virtual reality technology. The landscape design data collection module uses files to read and write landscape design data. Use the resource library to store the basic materials required for 3D landscape design. The system realizes the functions of 3D solid modeling, 3D real-time virtual presentation of design scenes, rendering and animation production, and construction drawing. After the landscape architecture simulation system generates construction drawings, it uses the coordinate matrix method of three-dimensional graphics processing technology to render the three-dimensional texture of the model. The system realizes three-dimensional landscape design through the statistical budget and engineering data of the data statistics module. The system simulation results show that the system can effectively realize the garden landscape design of the community, and the visual effect of obtaining the garden landscape scene is better.

Application of Computer Image Processing Technology in Visual Communication System

ABSTRACT This research paper aims to enhance the operation of visual communication systems by incorporating computer image processing technology. The study investigates the potential applications of visual communication systems by utilizing imaging equipment to capture distorted fringe images of height-modulated objects from different angles. Phase information closely associated with the object is then extracted from the images and utilized to obtain the object’s three-dimensional surface topography following calibration. The paper applies multi-frequency phase-shift profilometry and Fourier transforms profilometry to construct further a visual communication system based on computer graphics processing technology. The article contributes to visual communication systems by proposing a novel approach that incorporates computer image processing technology. This approach enhances the performance of visual communication systems, resulting in a more effective means of communication. The study’s experimental analysis demonstrates computer image processing technology’s superiority and ability to enhance the visual communication system’s application. The study’s key findings indicate that computer image processing technology can effectively enhance the effectiveness of visual communication systems. The incorporation of imaging equipment and phase extraction methods leads to the production of accurate three-dimensional surface topography data. Furthermore, multi-frequency phase-shift profilometry and Fourier transform profilometry aid in constructing a visual communication system based on computer graphics processing technology, which leads to an overall enhancement of the visual communication system’s application.

An Improved Method Research on Graphics and Image Processing System

In the era of high-speed information, with the popularization of network and the rapid development of multimedia communication technology, human society has entered a key new stage of development. Human productivity and living style have been significantly altered as a result of social informatization. The field of computer image processing has also made significant strides recently. Photoshop has evolved into a must-have piece of software for those who work in computer graphics and image processing on a regular basis. It contributes to increased job productivity in the processing of computer visuals and photos because of its extensive functionality, user-friendliness, and humanization. Photoshop is a graphics and image processing technology programme that is very efficient. This software’s image processing function is quite strong, and it is capable of producing graphics and image processing of the highest quality. This technology is widely used in practical work. Professionals are required to operate skillfully and grasp the technology accurately. Photoshop is widely used in current graphics and image processing. While meeting the relevant processing requirements of users, it is also used in various occasions related to image processing.

Research on the Role of Computer Image Technology in Visual Communication Design

Computer image came into being at the end of 1980s, and it has experienced more than 30 years of development. Image processing technology has been widely used and has become modern applied science. Computer technology is playing an increasingly important role in people’s daily life. The use of computer technology is becoming more and more extensive along with the construction and development of information society nowadays. People’s daily life and work are inseparable. Computer graphics has also been fully valued, which greatly improves the overall effect and level of visual communication design. Graphic image processing technology is also widely used in today’s society, the works designed with it can bring great impact on people’s vision. This paper analyzes the meaning of computer graphics and image technology and visual communication design, and on this basis, expounds the significance of computer graphics and image technology on the realization of visual communication design elements, hoping that the results can bring some help to the relevant leading city [1].

An Improved FFIP Method Based on Mathematical Logic and SysML

In recent years, the model-based safety analysis (MBSA) has been developing continuously. The Functional Failure Identification and Propagation (FFIP) method is a graphics processing technology which supports the analysis of fault propagation paths before making costly design commitments. However, the traditional FFIP has some deficiencies. In this paper, we extend the functional failure logic (FFL) in the FFIP and introduce the concept of deviation. So, FFIP can be used to analyze the failure process of the systems and make the logical analysis of functional failure easier. Based on the extended FFL, we present a new overview of the FFIP. The FFIP is improved by using mathematical logic and Systems Modeling Language (SysML). The standard expression of FFL is realized, which is conducive to the subsequent modeling and modification. Additionally, we use the failure logic analysis in the FFIP to improve the state machine diagram (SMD) in SysML. Finally, the improved FFIP method is used to analyze the fault propagation paths of the system and Simulink is used for simulation. The fault tree is generated according to the simulation results, the minimum cut set is calculated, and the key failure parts of the system are obtained.

A New Statistical Parameter for Determining Joint Roughness Coefficient (JRC) considering the Shear Direction and Contribution of Different Protrusions

The mechanical properties of joints are important factors affecting the safety and stability of rock mass. The joint roughness coefficient (JRC) is a parameter for describing the roughness morphology of the joint surface, and its accurate quantification is very important to predict the shear strength. In the current statistical parameter methods for the estimation of joint roughness, the size of different protrusions on the joint surface was completely ignored, which did not correspond to the real failure mechanism of rock joint during the shear process. In this study, a new statistical parameter WPA was proposed for the estimation of JRC considering the shear direction and the contributions of different protrusions. First, the 10 standard roughness joint profiles were digitized based on image processing technology, and the obtained coordinate data were proved to be reliable by the calculation results of existing parameters. Secondly, the WPA value of 10 standard roughness joint profiles was calculated at a 0.5 mm sampling interval in two directions. The functional relationship between WPA and JRC indicated that they should be established in the same shear direction to maintain a high correlation. The JRC values of 10 standard roughness joint profiles in direction 2 were obtained based on the functional relationship established between WPA and JRC in direction 1, and the roughness of these 10 joint profiles was confirmed to be influenced by direction. Next, the effect of sampling interval on WPA was investigated. As the sampling interval increases, the WPA values gradually decreased and the correlation between them and JRC gradually declined. In practical application, a smaller sampling interval was recommended for more accurate prediction. Finally, the geometric coordinate data of 21 joint profiles given in the literature and 4 natural joint surfaces were obtained by graphics processing technology and 3D scanning technology, respectively. The JRC values of them were separately estimated by WPA in different directions. The results showed that the new statistical parameter WPA proposed in this paper can well describe the joint roughness considering the shear direction and the contribution of different protrusions.

Calibration and Experimental Validation of Contact Parameters for Oat Seeds for Discrete Element Method Simulations

Highlights The static friction coefficient and rolling friction coefficient of oat seeds were calibrated by the discrete element method. Two representative oat varieties were selected. The hollow cylinder method and sidewall collapse method were used together to reduce the test error. Abstract . Hulless and shelled oat are two types of oat with major differences in physical appearance. To study the contact parameters between the two different oat seed types, these parameters were delineated with the discrete element method and graphic image processing technology. Using plexiglass as the contact material, the experiments used two different angle of repose measurement methods—hollow cylinder and collapse sidewall devices, to perform bench and simulation experiments on the two different oats. Under different measurement methods, bench experiments measured the angles of repose of the two oat seed types at 33.19°, 33.82° and 22.45°, 23.57°; the static friction coefficient and rolling friction coefficient were the experimental factors, and the angle of repose was the experimental indicator in the simulation. The steepest climbing experiment determined the optimal range of the experimental factor, and the regression equation between the static friction coefficient, rolling friction coefficient and angle of repose was established by a quadratic orthogonal rotation combination experiment. Finally, the angles of repose measured by the bench experiment with the two different measurement methods were treated as target values, the coefficient of static friction and the coefficient of rolling friction were solved; the coefficient of static friction between hulless oats was 0.36, and the coefficient of rolling friction between hulless oats was 0.052; the coefficient of static friction between shelled oats was 0.24, and the coefficient of rolling friction between shelled oats was 0.036. The obtained contact parameters between seeds were input into EDEM, the simulation and bench experiment results were verified. The difference between the simulation results and the actual values was within 3%. The angle of repose of oats after calibration was close to the actual situation, and the calibration results had high reliability and provided a referencefor the measurement of contact parameters between other agricultural crop seeds. Keywords: Calibration, Contact parameters, Discrete element method, Oat.

Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology

Image segmentation is a key technology in the field of computer image processing. Among them, segmentation methods based on active contour models have been developed rapidly in recent years due to their effective processing of complex images such as medical images. These methods have achieved significant results in medical, military, and industrial fields. Present research work mainly introduces the training of computer graphics and image processing technology and the method of active contour image segmentation. It focuses on the study of image segmentation methods and focuses on the segmentation methods based on active contour models. Firstly, it summarizes two types of segmentation methods based on edge and region and summarizes their advantages and disadvantages. Then, the segmentation method based on the active contour model is studied, and several typical active contour models are comprehensively compared. Finally, the local binary fitting model and the local Gaussian distribution fitting energy model are improved and simulated. Furthermore, from the development of computer graphics and image processing technology to analyze some methods and means of training this professional talent. The experimental results of this article show that the active contour image segmentation algorithm can not only ensure the image segmentation algorithm but also reduce the number of iterations and shorten the image segmentation time. Compared with the CV, LBF, and LGIF models computational efficiency of Segmentation method is increased by 9.2 times, 2.64 times, and 1.44 times, respectively.

Application of Computer Graphics Processing Technology in Graphic Analysis

With the development of computer network technology, computer graphics processing technology has also been extensively applied in various fields of social life. In this paper, the computer graphics processing system is used to perform graphic analysis. GIS model computation method is designed to obtain the processing equations of 1D, 2D, and 3D graphics. Traditional and modern comparative experiments show more clearly that the computer graphics processing technology based on GIS is more The of the model is more applicable to the development of modern society than the traditional computer graphics processing technology.

Gray matter volume changes in patients of post-concussion syndrome: a voxel-based morphometry study

Objective To study the volume changes of gray matter in patients of post-concussion syndrome and discuss its clinical significance using functional magnetic resonance imaging and computer-aided graphics processing technology. Methods Twenty-three patients diagnosed of post-concussion syndrome following mild traumatic brain injury admitted to Department of Neurosurgery, Anhui Provincial Hospital, Anhui Medical University from April 2015 to January 2016 were recruited as the test group. Twenty-five healthy subjects were recruited as the control group. All subjects underwent regular magnetic resonance scanning and high-resolution 3D-TI weighted examination with the same parameters. We built a brain structure network model, segmented grey and white matters, and analyzed the changes of gray matter volume with the method of voxel-based morphometry, intending to investigate the damaged cortical areas. Results Decreased gray matter volumes were found in areas including left inferior frontal gyrus, left inferior temporal gyrus, right gyrus rectus, left operculum insulae and left putamen(all P<0.001), while increased gray matter volumes were not observed. Conclusion Changes of gray matter volume were demonstrated in patients with post-concussion syndrome, which may be related to the pathophysiological mechanism of its clinical symptoms. Key words: Post-concussion syndrome; Craniocerebral trauma; Magnetic resonance imaging; Voxel-based Morphometry

Graphic Image Processing Technology in the Application of the Film and Television Creation

In this paper, using the procedure of analysis and synthesis, comparison and classification methods and methods of system theory, graphic image processing technology was studied and its comprehensive application in the film and television, especially the combination of computer animation and film and television. Also on current popular virtual reality technology is dealt with in this paper.

The System Development and Implementation of Design Drawings Management and Archive Combination

In the digital and information times, the use of computer networks and related technology to the production of our work has brought great changes. This article describes the use of computer networks and graphics processing technology, automatic identification technology, database management technology to manage and archive the plot combine to increase productivity of case.