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Application of Chaos Cuckoo Search Algorithm in computer vision technology

SOFT COMPUTING 2021年第18期25卷 12373-12387页

作者： Fan, Jiayi Xu, Wenjing Huang, Yi Samuel, R. Dinesh Jackson Jiangsu Univ Sci & Technol Sch Elect & Informat Technol Suzhou Inst Technol Zhangjiagang 215600 Peoples R China Zhangjiagang City Investment Co Ltd Engn Management Dept Zhangjiagang 215600 Peoples R China Oxford Brookes Univ Visual Artificial Intelligence Lab Fac Technol Design & Environm Oxford England

Image segmentation is an essential phase in image analysis and computer vision. In computer vision, image processing denotes the analysis and handling of digital images to enhance their quality. Image processing becomes more challenging because of many complexes, noisy images from various sources in selecting applications, requiring minimal computational time/cost procedures and higher accuracy. Hence, in this paper, Chaos Cuckoo Search Algorithm (CCSA) has been suggested to resolve image segmentation and improve image accuracy. An un-deterministic problem is the challenge of unsure pixel detection and rim formulation for picture segmentation. The use of CV and optimization approaches has reduced the uncertainty about restricted picture characteristics. Ergodicity and stochasticity are formulated in this proposal which fulfill certain pixel and edge detection. Heterogeneous picture patterns solve the insecurity with chaotic maps and an Algorithm of Cuckoo Search. Unlike ordinary cuckoo searches, the chaotic mapping fuses deterministic search and stochastic validations. Chaos belongs to a characteristic of nonlinear models. Chaotic motion ensures homogeneity within a certain range since it has obsessed ergodicity, uncertainty, and stochasticity. The proposed model automates algorithms' settings and delivers optimal parameters for computer vision applications and image segmentation. Furthermore, a local search approach is utilized to enhance the outcomes in the cuckoo search algorithm. The experimental results show that the proposed CCSA model enhances accuracy and reduces uncertainty compared to other existing approaches.

关键词： Chaos Cuckoo Search Algorithm computer vision technology Image processing

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Rapid discrimination of Chinese dry-cured hams based on Tri-step infrared spectroscopy and computer vision technology

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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020年第0期228卷 117842-000页

作者： Zhang, Danni Feng, Xi Xu, Changhua Xia, Dong Liu, Siqi Gao, Shaoting Zheng, Fuping Liu, Yuan Beijing Technol & Business Univ Beijing Adv Innovat Ctr Food Nutr & Human Hlth Beijing 100048 Peoples R China Shanghai Jiao Tong Univ Dept Food Sci & Technol 800 Dongchuan RD Shanghai 200240 Peoples R China Calif State Univ Dept Nutr Food Sci & Packaging San Jose CA 95192 USA Shanghai Ocean Univ Coll Food Sci & Technol Shanghai 201306 Peoples R China

The aim of this study was to establish rapid and efficient methods based on a Tri-step infrared spectroscopy (Fourier transform infrared spectroscopy (FT-IR) integrated with second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR)) and computer vision technology to identify and evaluate the quality of three Chinese dry-cured hams (Jinhua, Xuanwei and Rugao hams). 9 dry-cured hams (3 different quality grades of each geographical origin) had similar IR spectra. Nevertheless, they could be further discriminated visually by SD-IR and 2DCOS-IR spectra. All samples can be separated by the computer vision technology incorporated with Principal Component Analysis (PCA) and Cluster analysis (CA). This study not only preliminarily verified the possibility of using Tri-step infrared spectroscopy and computer vision technology to discriminate the geographical origins and quality grades of Chinese dry-cured hams, but also provided prospects of the application of infrared spectroscopy and computer vision technology to authenticate other meat products. (c) 2019 Elsevier B.V. All rights reserved.

关键词： Dry-cured ham Tri-step infrared spectroscopy computer vision technology Geographical origin Quality grades

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APPLICATION AND STUDY ON RAPID DETECTION OF BACILLUS CEREUS IN food BY computer vision technology

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CARPATHIAN JOURNAL OF FOOD SCIENCE AND technology 2014年第2期6卷 23-28页

作者： Liu, Shuying XianYang Normal Univ Inst Informat Engn Xianyang 712000 Shaanxi Peoples R China

With the increase of bromatotoxismus incidents induced by the foodborne pathogens, the study of detection methods of microbes in food both at home and abroad draws more and more attention. They are trying their best to avoid the defects in the traditional detection methods, so as to meet the need of ensuring the food quality and safety by detection, bacillus cereus is one of the most common foodborne pathogens which result in food poisoning, and it lives widely in the natural world in the form of spores. It can rapidly grow and propagate after infecting the food. It is likely to induce food poisoning once mistaken for food. Based on the computer vision technology and specific staining methods of bacillus cereus, this paper primarily discusses the rapid detection methods of bacillus cereus in food. This paper proposed some new ideas on the rapid detection of bacillus cereus in food, and extended the application of rapid detection system for microbes, thus to provide some theories and technology for supporting this system.

关键词： Bacillus cereus computer vision technology Rapid detection

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Design and implementation of football training system based on computer vision technology 7

Design and implementation of football training system based ...

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7th International Conference on Electronic Information technology and computer Engineering (EITCE)

作者： Gao, Hongfei Meng, Shasha Ma, Shaowen Chongqing Three Gorges Vocat Coll Chongqing 404100 Peoples R China

ISBN: (纸本)9798400708305

In order to improve the science and quality of football training, a football training system based on computer vision technology is studied. Collect initial motion data through motion capture to form an action database, modify and design the actions in the action database, obtain standard technical actions, and arrange and simulate each standard technical action through motion splicing;By using video shooting technology to obtain the image data of athletes during physical exercise, the measurement deviation in sports training is discussed through the trajectory tracking and error judgment of the motion nodes, so as to provide more efficient sports guidance and improve the movement and training level. The simulation test results show that compared with other corresponding systems, the system is outstanding in the aspects of fast response and improved control accuracy, so as to realize the optimal monitoring effect of sports training errors.

关键词： Sports training computer vision technology Image processing

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Research on Human Motion Recognition Based on computer vision technology 2022

Research on Human Motion Recognition Based on Computer Visio...

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5th International Conference on Machine vision and Applications (ICMVA)

作者： Sun, Jie Jianghan Univ Sch Phys Educ Wuhan 430056 Hubei Peoples R China

ISBN: (纸本)9781450395670

In order to improve the accuracy of human motion recognition, computer vision technology is selected as the research tool, and a representation method of human bone and joint is proposed. This method takes the adaptive human motion bone center architecture as the action recognition tool, constructs the human motion action recognition model by calculating the angular acceleration and angular velocity of the neck and hip joints, and uses the model to calculate the action data and generate the recognition results. The experimental results show that the motion recognition accuracy of this algorithm is high, and it can be used as a motion recognition tool.

关键词： action recognition computer vision technology Bone Center

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vision Belt: Intelligent Assistive Device for Collision Avoidance by Using computer vision technology and Ultrasonic Sensors 11

Vision Belt: Intelligent Assistive Device for Collision Avoi...

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11th IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) - Empower of Innovative Consumer technology

作者： Hung, Chi-Huang Chi, Chun-Nan Huang, Shih-Yung Hsu, Chia-Hsun Lu, Yi-An Fu Jen Catholic Univ Lee Ming Inst Technol Dept Informat Technol Grad Inst Appl Sci & Engn New Taipei Taiwan Fu Jen Catholic Univ Grad Inst Appl Sci & Engn New Taipei Taiwan Kang Chiao Int Sch Dept Int High Sch New Taipei Taiwan Lee Ming Inst Technol Dept Elect Engn New Taipei Taiwan

ISBN: (纸本)9798350386851;9798350386844

Visually impaired individuals have been using white canes for walking on the road for many years. Although they are affordable and easy to use, there are still shortcomings in terms of providing sufficient reminders and warnings. While tactile paving on the floor provides a guide for visually impaired individuals to follow, they must walk on it with great concentration. The drawback is that sometimes it can lead to tripping or missing directional cues. White canes may not always offer sufficient assistance to those with limited abilities. Therefore, this study utilizes a miniature camera and embedded computer with computer vision technology to create a belt assistance system. This system helps visually impaired individuals walk on yellow tactile paving, and when combined with ultrasonic sensors, it extends the detection range from 2D to 3D. In this way, visually impaired individuals can understand whether there are obstacles ahead and if they are on the correct path through vibrations from left and right vibrating motors.

关键词： Obstacle Avoidance Visually Impaired Person Auxiliary Equipment Ultrasonic computer vision technology

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Application of the computer vision technology in the Image Feature Extraction

Application of the Computer Vision Technology in the Image F...

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International Conference on Cyber Security Intelligence and Analytics (CSIA)

作者： Qu, Yunhui Xian Med Univ Comp Teaching & Res Sect Xian 710054 Shaanxi Peoples R China

ISBN: (纸本)9783030152352;9783030152345

The image feature extraction is separated from the computer vision and the image processing. computer is used to analyze and process the image information, and then to determine the invariant features of the image, and then to process the actual problems with the extracted features. Based on the basic principles and theories of the image processing technology, this paper carries out the application analysis of the computer vision technology in various fields and implements the comparative analysis of its methods.

关键词： computer vision technology Image features Extraction technology Application research

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3D Scene Object Perception Algorithm Based on computer vision technology Based on Multi-View 1

3D Scene Object Perception Algorithm Based on Computer Visio...

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1st IEEE International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Chen, Yihua University of Science and Technology of China Anhui Hefei China

ISBN: (纸本)9798350316469

Traditional single-viewpoint algorithms have limitations in target perception in 3D scenes, while computer vision technology based on multi-viewpoints can provide more comprehensive and accurate target perception capabilities. This study proposes a multi-view computer vision technology based object perception algorithm for 3D scenes. In this paper, image data from multiple angles is used for target positioning and shape reconstruction, and the accuracy of target position and shape is improved by combining information from different angles. Synthesize information from multiple angles to obtain more comprehensive and richer target semantic information. Through experiments and evaluations on real 3D scene datasets, the algorithm in this paper achieves remarkable research results. After experimental testing, the recall rate of the algorithm in this paper ranges from 81% to 88%. Compared with traditional single-viewpoint algorithms, multi-viewpoint-based algorithms show higher accuracy and comprehensiveness in object localization, shape reconstruction and semantic understanding. © 2023 IEEE.

关键词： 3D Scene Perception 3D Target Recognition computer vision technology Target Perception Algorithm

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Recognition Method for Building Restoration Images Based on computer vision technology

Recognition Method for Building Restoration Images Based on ...

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2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques, EASCT 2023

作者： Yu, Chen Wu, Kun Shenzhen University School Architeture & Urban Planning Shenzhen China

ISBN: (纸本)9798350313413

Building Inpainting technology can complete the lost part of the building image or remove the polluted part of the image from the true *** vision (CV) technology is a part of the field of artificial intelligence, which has three-dimensional analysis capabilities and can analyze the data information in images, achieving true 'recognition' and 'understanding of images'. Applying it to building image recognition and restoration has great advantages. To address the issues of traditional Inpainting technology, this paper studied CV technology and image recognition and restoration technology, aiming to apply CV technology to building image recognition and restoration. The practice proved that the comprehensive score of building image recognition and restoration using CV technology according to the index was 94.65 on average, 18.85 points higher than the traditional Inpainting method, which proves that the method designed in this article is really effective and that the utilization of CV technology to the analysis and recognition of building Inpainting plays a very significant role. © 2023 IEEE.

关键词： 3D analysis ability building image recognition computer vision technology inpainting technology

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Research progress of computer vision technology in abnormal fish detection

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AQUACULTURAL ENGINEERING 2023年第1期103卷

作者： Liu, Chunhong Wang, Zhiyong Li, Yachao Zhang, Zhenzuo Li, Jiawei Xu, Chen Du, Rongxiang Li, Daoliang Duan, Qingling China Agr Univ Natl Innovat Ctr Digital Fishery Beijing 100083 Peoples R China China Agr Univ Key Lab Smart Farming Technol Aquat Anim & Livesto Minist Agr & Rural Affairs Beijing 100083 Peoples R China Beijing Engn & Technol Res Ctr Internet Things Agr Beijing Peoples R China China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China Laizhou Jinyiyuan Aquat Prod Co Ltd Laizhou 261418 Shandong Peoples R China

Abnormal fish detection helps producers adjust breeding strategies in a timely manner to prevent the occurrence of diseases and improve aquaculture efficiency and quality. The rapid development of computer vision tech-nology provides a noninvasive method for abnormal fish detection, which can be used to identify and classify abnormal fish. This paper provides an overview of the research progress of computer vision techniques in detecting abnormal fish over the past two decades. For the first time, the abnormal fish detection task is divided into three external manifestations: abnormal physiological activities, abnormal trajectories, and abnormal sur-face features of fish. The traditional methods and deep learning methods in computer vision technology are further summarized for their application approaches in these three research types, and the commonly used classical algorithm models in abnormal fish detection are introduced comprehensively. In addition, this paper summarizes several common methods for obtaining public datasets in aquaculture and evaluation indicators of model accuracy, emphasizing two methods for researchers to collect experimental on-site data. Finally, based on the above work, this paper analyzes several challenges in abnormal fish detection, proposes feasible strategies for each challenge, and notes the importance of improving models to effectively integrate and analyze data from multiple platforms. This paper provides some reference value for research on abnormal fish.

关键词： computer vision technology Deep learning Abnormal physiological activities Abnormal trajectories Abnormal surface features

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