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2015年国际包装与食品工程、农产品加工学术年会

作者： Xuan Chu Mingjie Xi Wei Wang Ying Yuan Xin Zhao Liting Zhao Shengquan Liu College of Engineering China Agriculture University

In order to guarantee the quality of seeds in agriculture production,as well as to detect fungus-infected warehousing maize kernels,a conveyor type sorting device based on image recognition technology was designed in this *** sorter consisted of five modules,*** and conveying part,material sequencing part,image acquisition part,material turn-over part and sorting *** to collaborative work of each module,the fungus-infected maize kernels could be sorted online in *** verification by experiment,a sorting efficiency of 2kg/h and an accuracy of more than 85%could be achieved,and this can satisfy the detection requirement of seed quality and *** further optimization of the image processing algorithm and the increase of the channel,the sorting efficiency and accuracy could be further increased.

关键词： Maize kernels Fungus-infected kernels Sorter image processing technology

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Art image Color Sequence Data processing Method Based on Artificial Intelligence technology

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2024年第9期15卷 804-811页

作者： Zhao, Xujing Chen, Xiwen Shen, Jianfei Hunan Mass Media Vocat & Tech Coll Sch Visual Arts Changsha 410100 Peoples R China

the traditional quality enhancement methods cannot control the best field density range resulting in too large threshold value of colour difference in art works. Therefore, a research on art works quality enhancement based on image processing technology is proposed. The CIE L* a* b* color space model is established to divide the color magnitude and then transform the color space by RGB space conversion model. On this basis, the quality of art works is enhanced according to the process of the quality enhancement of art works. As considering that the actual density is not within the control range, the image processing technology is used to separate targets to solve this problem. In the experiment, Adobe Illustrator CS6 software was used to make the experimental color target and six test samples were selected to test whether the distribution results of the two methods in different degree of color difference perception met the quality enhancement requirements. The experimental results show that the quality enhancement effect of the proposed method is better and more in line with the design requirements.

关键词： Artworks quality enhancement image processing technology color space model target separation experimental color target

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Implementation of Man-Hours Measurement System for Construction Work Crews by image processing technology

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APPLIED MATHEMATICS & INFORMATION SCIENCES 2014年第3期8卷 1287-1293页

作者： Lee, Seunghyun Hong, Min Hongik Univ Coll Sci & Technol Sch Architectural Engn Sejong South Korea Soonchunhyang Univ Dept Comp Software Engn Chungnam South Korea

Measuring productivity on a construction job site is not an easy task because collecting its reliable data consistently from the job site requires a lot of personnel efforts causing extra time and cost. In order to measure the job site productivity, for instance, basically two types of data such as man-hours and installed work quantities are required as an input and an output factor to calculate the values of the productivity. This paper suggests an efficient automatic man-hours measurement system for analyzing and collecting the data relating to the input factor by the analysis of video images instead of the direct observation of construction job sites by a work manager. The proposed method utilizes the image processing technologies for analyzing the video images of the construction related works operated on the job sites. An image processing based algorithm is developed for tracking the three different groups of construction work crews under the considerations of complex construction work environment. It includes the following main algorithms: BGS (background subtraction), worker detection, and worker tracking algorithm. The proposed method has been applied and verified under various indoor and outdoor experimental test environments. Around 84% of recognition rate for counting man-hours of construction work crews is achieved by the proposed algorithm. The data acquired by the proposed method can be used as an essential and valuable input data to analyze and control the productivity of construction job site subsequently.

关键词： Construction Job-site Productivity Automatic Data Acquisition image processing technology Worker Detection Algorithm Worker Tracking Algorithm Man-hours Measurement

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A Method to Evaluate Mixture Segregation Based on Space Grid of image processing technology

A Method to Evaluate Mixture Segregation Based on Space Grid...

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International Conference on Structural Engineering, Vibration and Aerospace Engineering (SEVAE 2013)

作者： Li, Hongchao Yue, Hongya Ye, Fei Liu, Jing Third Geol Prospecting Inst Henan Dept Luoyang 471023 Henan Peoples R China Shan Dong Univ Sch Civil Engn Jinan Peoples R China Jinan Municipal Engn Design Inst Grp Co Ltd Shandong 250101 Peoples R China

ISBN: (纸本)9783037859858

A space grid method, based on image processing technology, was proposed to evaluate asphalt mixture segregation, which used the ratio of statistical data variance and its square of mathematical expectation to describe material uniformity by statistics of distribution of particles on space grid. Computer procedure was developed and some experiments are made. The results indicate that this method is simple and can be used to evaluate asphalt mixture uniformity quantitatively with a good adaptability.

关键词： Segregation evaluation image processing technology Asphalt mixture

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image recognition technology improves the efficiency of historical drawing management in archives 5

Image recognition technology improves the efficiency of hist...

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5th International Conference on Artificial Intelligence and Computer Engineering

作者： Li, Jing Duan, Lijuan Wang, Hui Ma, Wenjie China North Vehicle Res Inst Network Informat Dept Beijing Peoples R China China North Vehicle Res Inst Chinese Scholartree Ridge SKL Beijing Peoples R China Beijing Polytech Coll Mech & Elect Engn Inst Beijing Peoples R China Inner Mongolia First Machinery Grp Co Ltd Sci Res Inst Platform Control Dept Baotou Peoples R China

ISBN: (纸本)9798331528911;9798331528928

The archive faces a substantial workload in manually recognizing and renaming a large number of scanned historical drawings. This paper proposes an automated solution based on image recognition technology to improve the efficiency of drawing management. The system utilizes OCR (Optical Character Recognition) and computer vision technologies to automatically identify drawing information and rename the files, thereby reducing manual operations and enhancing work efficiency.

关键词： component image recognition Optical Character Recognition (OCR) Automated management of drawings image processing technology OpenCV

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Study of Morphological Characteristics of Electrical Apparatus Arc by High-speed Photography and image processing technology

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JOURNAL OF ALGORITHMS & COMPUTATIONAL technology 2014年第1期8卷 113-125页

作者： Liu Xiangjun Lan Taishou Xie Baohe Fuzhou Univ Coll Elect Engn & Automat Fuzhou 350116 Fujian Peoples R China

The images of arc motion of the electrical apparatus during breaking process are taken by the test device based on high-speed camera in this paper. By means of a series of processing methods such as median filtering, Gaussian filtering, grayscale transformation and binary conversion, the arc images are processed and the total pixel values of arc images are calculated to complete the numerical representation of the arc morphology. The relationship between the arc pixel area and time during the whole process from arc ignition to extinction is studied. It can provide the basis for the study of arc motion discipline.

关键词： Electrical Apparatus Arc High-speed Photography technology image processing technology Arc Pixel Area

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Digital imaging technology-assisted water-sensitivity assessment of asphalt mixtures: A comprehensive review

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MEASUREMENT 2025年第PartA期242卷

作者： Liao, Wei Liang, Bo Hu, Mingjun Liu, Zhengchun Zheng, Jianlong Changsha Univ Sci & Technol Natl Key Lab Green & Long Life Rd Engn Extreme Env Changsha 410114 Hunan Peoples R China Changsha Univ Sci & Technol Sch Traff & Transportat Engn Changsha 410114 Hunan Peoples R China Dalian Univ Technol Sch Transportat & Logist Dalian 116024 Peoples R China Cent South Univ Sch Elect Informat Changsha 410083 Hunan Peoples R China

Water damage is the primary cause of premature deterioration of asphalt pavement, leading to a decrease in its durability. Hence, it is essential to utilize an effective approach for quantifying water damage to extend the lifespan of roadways. Previous methodologies for evaluating the water sensitivity of asphalt mixtures were either less accurate or time-consuming. This review article provides a comprehensive overview of the principles and factors that influence various laboratory and field test methods, as well as the integration of theoretical analysis and test methods for detecting water damage and quantitatively evaluating loose asphalt mixtures and compacted asphalt mixes using digital image processing technology. It also explores the microstructure change of the asphalt mixture at different stages of the process and the influence of water penetration on the inside of the material through the data collection of water damage images. Various image processing techniques, including visual assessment, monochrome image, grayscale image, colorful picture, and light reflection image, effectively provided scientific and precise evaluations of asphalt mixtures using advanced data analysis and image processing software. An optimal correlation was demonstrated between the boiling water test (BWT) and the rolling bottle test (RBT) of loose asphalt mixtures when recognizing color interference in grayscale image processing. image-based direct tensile strength (DTS) evaluation revealed that the main variables affecting water resistance are adhesion and cohesion degradation. image-based indirect tensile strength (ITS) tests explained a significant positive relationship between cohesion damage and tensile strength ratio (TSR). In contrast, the aggregate broken area exhibited a negative connection, highlighting its importance in assessing water resistance. Furthermore, the implementation of artificial intelligence can improve the accuracy of identifying asphalt adhesion to aggre

关键词： Water damage Asphalt mixture image processing technology Quantitative evaluation

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Research on variational optical flow method for rockfall monitoring

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SIGNAL image AND VIDEO processing 2024年第SUPPL 1期18卷 713-730页

作者： Chen, Hui Zhang, Lu Zhang, Ying Liu, Juan Chengdu Univ Technol State Key Lab Geohazard Prevent & Geoenvironm Prot Chengdu 610059 Sichuan Peoples R China Chengdu Univ Technol Geomath Key Lab Sichuan Prov Chengdu 610059 Sichuan Peoples R China Chengdu Univ Technol Coll Math & Phys Chengdu 610059 Sichuan Peoples R China

Rockfall is a global mountain disaster problem, which has the characteristics of wide distribution, strong randomness, and inconspicuousness. The contacted monitoring method is difficult to deploy. Simultaneously, the non-contact detection is easily affected by complex environments and generally has less robustness. This paper presents a rockfall monitoring technology based on machine vision. First, a high-resolution industrial camera continuously acquires images of the monitoring area. Then, we perform a series of operations on the landslide rockfall images, including image preprocessing, image optical flow algorithm preprocessing to identify the features of the rockfall. Finally, a dynamic target detection experiment is carried out to verify the feasibility of the image optical flow algorithm. Experiments of rockfall monitoring verify the effectiveness and generalization abilities of the algorithm. From the results: (1) The features of the image data in this paper are clear, and the recognition range covers the whole visual field. (2) The technology can capture the motion characteristics of landslide rockfall in different scenes. (3) The processing efficiency of the algorithm can reach 10 frames per second. Thus, this technology can be used in a monitoring system for rockfall.

关键词： Machine vision Variational optical flow technology Non-contact automatic identification technology image processing technology

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Crack Evolution and Strength Attenuation of Red Clay under Dry-Wet Cycles

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JOURNAL OF MATERIALS IN CIVIL ENGINEERING 2024年第4期36卷

作者： Ma, Hongyan Pei, Chenglin Huang, Renjie Xu, Song Fuzhou Univ Coll Civil Engn Fuzhou 350108 Peoples R China Huizhou Creat Life TCL Yunchuang Technol Co Ltd 5th FloorTCL Technol Bldg17 Huifeng Third Rd Huizhou 516000 Guangdong Peoples R China

Red clay is a special soil that loses water and shrinks easily, which causes expansion and contraction and leads to the generation and development of cracks, weakening the strength and engineering properties of the soil. This investigation analyzed the mechanism of crack evolution and patterns of strength decay in red clay under dry-wet cycles and established a relationship between strength and crack ratio by employing image processing techniques and conducting direct shear tests on red clay with various initial moisture contents and humidification times. The results show that the crack ratio increases with the number of dry-wet cycles and eventually tends to be stable after the fourth dry-wet cycle, and the stress-displacement curve of red clay changes from weak hardening to hardening. With the progress of the dry and wet cycles, the shear strength indexes of red clay decrease extensively, displaying a negative association with the sample's initial moisture content and the duration of humidification. Based on the experimental result, a quadratic function was established to model the relationship between soil cracking ratio and shear strength, which can predict the shear strength of red clay from the cracking ratio.

关键词： Red clay Crack Dry-wet cycle Shear strength image processing technology

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Identification and characteristic analysis of internal defects in rock-filled concrete based on deep learning method

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MATERIALS TODAY COMMUNICATIONS 2024年 41卷

作者： Ren, Tao Zhang, Yufan Yang, Tao Chen, Qiaolin Yu, Lei Wang, Guoji Song, Meizhou Guizhou Univ Coll Civil Engn Guiyang 550025 Peoples R China Guiyang Shougang Real Estate Dev Co Guiyang 550025 Peoples R China

The distribution characteristics and geometric morphology characteristics of defects within RFC are important factors affecting the strength properties and rupture morphology of RFC. However, the excessive size of commonly used aggregates for RFC leads to difficulties in conducting in-depth experimental studies indoors. Based on the improved U-Net and image processing technology, this research establishes an integrated model for the identification, classification, and extraction of defects inside the RFC, quantitatively counts and analyzes the acquired defect distribution characteristics and geometrical morphology characteristics, and establishes a defect characteristic distribution function that can be used for the numerical reconstruction of defects. In order to realize the acceleration of U-Net training using training weights, use VGG-16 with the fully connected layer removed instead of the Encoder part of the U-Net. The integrated model in this research can realize automatic identification, classification, and extraction of multiple types of defects at the same time, and the established distribution function of defect characteristics provides a data basis and new ideas for the establishment of RFC three-dimensional numerical models containing real defects.

关键词： Deep learning improved U -Net image processing technology defect characteristic function rock-filled concrete

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