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Shape Meter Using image processing technology for Hot Rolling

IFAC Proceedings Volumes 1987年第5期20卷 153-156页

作者： H. Tachibana A. Yamamoto K. Matsui Process Control System Section Sumitomo Metal Ind. Ltd. Kashima Japan Instrumentation & Control Technology Center Sumitomo Metal Ind. Ltd. Amagasaki Japan

Recently development of new type rolling mills has made it possible to dynamically control the profile and the shape of hot rolled strips. In order to improve the performance of new type mills, profile and shape meters are required. The profile meter with high accuracy has been put to practical use, on the other hand the shape meter has not been widely used because of strip fluttering and the poor atmospheric conditions for example steam, dust and high temperature. Sumitomo Metals succeeded in developing a new shape meter with high accuracy applying laser and image processing technology. This system eliminates the measurement errors caused by the strip fluttering. Furthermore, it can be used even in the hot, steamy and dusty stomosphere. This system has been put into operation in the finishing mill of Kashima Steel Work’s hot strip mill and it has contributed to the improvement in the quality of hot strip coil.

关键词： Steel industry Sensor Shape meter Process control Laser image processing technology

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Application and Analysis of image processing technology in Modernization

International Journal of Social Science and Education Resear...

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International Journal of Social Science and Education Research 2022年第3期5卷 90-93页

作者： Yujia Huo Jianghai Shen

With the development of computer, image processing technology is widely used in various fields of modernization, such as transportation, media, culture, industry and so on, which has greatly improved people's living standards. Therefore, based on the current situation and development of computer image processing technology, this paper studies the application of image processing technology in modernization, so as to provide guarantee for the development of modernization.

关键词： image processing technology Computer Modernization

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Identification of the geographic origin of peaches by VIS-NIR spectroscopy, fluorescence spectroscopy and image processing technology

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JOURNAL OF FOOD COMPOSITION AND ANALYSIS 2022年第0期114卷

作者： Yang, Qinyi Tian, Shijie Xu, Huirong Zhejiang Univ Coll Biosyst Engn & Food Sci 866 Yuhangtang Rd Hangzhou 310058 Peoples R China Minist Agr & Rural Affairs Key Lab Site Proc Equipment Agr Prod Hangzhou 310058 Peoples R China

Identifying the geographic origin of peaches will not only help producers obtain higher economic benefits, but also enable consumers to buy the most satisfactory fruits. In this study, the feasibility of distinguishing the geographic origin of four traditional famous peaches in China by visible-near infrared spectroscopy, fluorescence spectroscopy and image processing technology was explored. Visible-near infrared spectra and fluorescence spectra of 397-1175 nm and color characteristics extracted from images were used to establish the support vector machine, k-nearest neighbor, random forest and extreme learning machine classification models. The factors most related to the geographic origin were found by decision tree analysis. The results showed that the support vector machine models had the highest classification accuracy, some reaching 100%. In order to improve the calculation speed, the spectral principal components were used, resulting in the accuracy of support vector machine, k-nearest neighbor and random forest models more than 95%. The decision tree showed that R value, the first principal component of fluorescence spectra and H value played a decisive role in identifying the geographic origin, leading to the accuracy of support vector machine, k-nearest neighbor and random forest models more than 95%. This study compared the advantages and disadvantages of visible-near infrared spec-troscopy, fluorescence spectroscopy and image processing technology in identifying geographic origin, and found that the combination of these three methods could effectively distinguished the geographic origin of peaches.

关键词： Peach Geographic origin identification VIS-NIR spectroscopy Fluorescence spectroscopy image processing technology Classification models

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Application of image processing technology based on field programmable gate array in mechanical part inspection

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FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND 2024年 10卷

作者： Lv, Yi Liaodong Univ Sch Chem Engn & Machinery Dandong Peoples R China

Introduction: In the field of industrial manufacturing, accurate inspection of mechanical components such as gears and bearings is of Paramount importance. However, the traditional mechanical testing methods are often disturbed by human factors, which not only affects the stability of the test results, but also leads to low efficiency and large error. In order to solve these problems, this research focuses on developing a new edge detection ***: A novel edge detection model based on field-programmable gate array image processing technology was used in this study. The model uses adaptive threshold multi-directional edge detection technology to identify the edge features of mechanical gears and bearings, aiming at improving the precision of *** and Discussion: After performance verification, the running time of the model was controlled within 11 s, and the detection error was limited to less than 9%. Compared with the control group and the experimental group, their performance was superior. Further analysis data show that the detection accuracy of this model is as high as 0.9004, its internal resource utilization rate is 88%, and the detection rate is as high as 91%, which are better than the comparison ***: The proposed test model not only significantly improves the efficiency and accuracy of the test, but also fully meets the requirements of the test. This new edge detection model has potential application value in industrial manufacturing field, and provides a new solution for industrial manufacturing quality inspection.

关键词： FPGA image processing technology adaptive threshold mechanical parts inspection mechanical gears and bearings

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Application of image processing technology based on Matlab

Application of Image Processing Technology based on Matlab

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2018 International Conference on Data processing,Artificial Intelligence,and Communications(DPAIC 2018)

作者： Pingping Jia Weinan Normal University

In the actual computer image processing technology, most digital images are acquired by electronic devices and stored in a digital format in a database. In the process of acquiring images by electronic devices, there may be image blurring, image size is not standard, and image occupying space is too large. The problem is that image processing technology is to remove noise, image enhancement, image size, image compression, image recognition, etc. for such images. Matlab is literally translated into a matrix laboratory. It is an interactive environment and advanced computing language for high-end computing environments such as scientific computing, interactive programming and visualization. It can realize various functions such as data visualization, data analysis and algorithm development. Therefore, the application is very extensive. The article mainly introduces several image processing techniques based on Matlab.

关键词： Matlab image processing technology Application Study

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RESEARCH ON ALGORITHM OF COMPOSITE MATERIAL PAINTING CREATION BASED ON image processing technology

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SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2024年第6期25卷 4796-4803页

作者： Wang, Yan Wang, Wei Yanshan Univ Sch Art & Desigin Qinhuangdao 066000 Peoples R China

In the study we proposed a novel approach is called a Customized Convolutional Neural Network (CCNN) to innovate in the field of art creation, particularly in composite material paintings. This research harnesses the power of image processing technology to analyze and synthesize various artistic elements, thereby facilitating the creation of composite material paintings. The core of the study revolves around the development of a unique algorithm that enables the integration of diverse materials and textures into a cohesive artistic expression. The Customized CNN is trained on a vast dataset of images, encompassing a wide spectrum of textures, colors, and patterns, representative of different materials commonly used in art. The network learns to identify and replicate the aesthetic qualities of these materials, thereby empowering artists to explore new realms of creativity. The algorithm not only recognizes the distinct characteristics of each material but also understands how to blend them effectively, maintaining artistic coherence. The results are evaluated to prove proposed performance.

关键词： Customized Convolutional Neural Network Composite Material Paintings image processing technology Artistic Creation Texture Analysis Digital Art Innovation

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Measurement of Tomato Leaf Area Using Computer image processing technology

Measurement of Tomato Leaf Area Using Computer Image Process...

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作者： An Dengkui Li Minzan Zhang Li Key Laboratory of Modern Precision Agriculture System Integration Research China Agricultural UniversityMinistry of Education

The change of plant shape,size and color of leaves,flower shape and fruit shape was inseparable from the nutrition state and environment *** research started from the study of color,shape and texture characters of crops,and tried to acquire plant growth information by abstracting the plant morphological characters,size and color of leaves,flower shape,fruit shape,*** digital image processing *** information would be an important reference factor when greenhouse control decision was being made.A software program was finished for crop information abstracting based on the current digital image processing *** program can be used to measure tomato leaf *** algorithm used to remove petiole combined erosion,dilation thinning algorithm and did less damage to tomato leaf image than simply use erosion and dilation algorithm.30 greenhouse tomato leaf samples were picked to examine the abstracting *** results of the image processing measurements and the measurements using portable area meter LI-3000 were analyzed and the correlation coefficient of single-leaf areas is 0.962,which shows that the algorithm is very *** characters that were abstracted in this research are not enough for analysis on the plant growth information,but the study laid a foundation for further research.

关键词： image processing technology Leaf Area Tomato Petiole Removing Algorithm

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Studies on Parameters of Loin-Eye Muscle of Hogs Carcass Using image processing technology

Studies on Parameters of Loin-Eye Muscle of Hogs Carcass Usi...

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2005年中国农业工程学会学术年会

作者： Zheng Limin1 Yubo1 Ren Fazheng 2* Zhu Hong Tian Li Jun (1 College of Information & Electrical Engineering 2College of Food Science & Nutritional Engineering, China Agricultural University, Beijing China,100083)

Area and fat content of loin-eye muscle, marbling and color of pork are important parameters of pork quality. The digital camera was adopted in this study to obtain the loin-eye muscle image of 30 hug

关键词： image processing technology area of loin-eye muscle features of color and texture region-growing

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Cloud sharing defect monitoring system based on image processing technology

Cloud sharing defect monitoring system based on image proces...

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作者： Danfeng Chen School of Information Engineering Wuhan University of Technology

At present, there are a series of monitoring systems for defects in various products in the industry, but various monitoring systems have certain limitations and deficiencies in the current market application. Therefore, after a series of reflections and improvements, a cloud-based shared defect monitoring system based on image processing technology was established to locate the defect's product with the highest efficiency, analyze and guide subsequent repair and treatment solutions, upload the data to the cloud, and share it with the production department, quality Inspecting departments, management departments and other users, constantly test and optimize, and ultimately improve product quality.

关键词： defect detection cloud sharing precision image processing technology

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Measurement of Tomato Leaf Area Using Computer image processing technology

Measurement of Tomato Leaf Area Using Computer Image Process...

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第三届国际计算机及计算技术农业应用学术会议

作者： An Dengkui,Li Minzan~*,and Zhang Li Key Laboratory of Modern Precision Agriculture System Integration Research,China Agricultural University, Ministry of Education,Beijing 100083,P.R.China

The change of plant shape,size and color of leaves,flower shape and fruit shape was inseparable from the nutrition state and environment *** research started from the study of color, shape and texture characters of crops,and tried to acquire plant growth information by abstracting the plant morphological characters,size and color of leaves,flower shape,fruit shape,*** digital image processing *** information would be an important reference factor when greenhouse control decision was being made.A software program was finished for crop information abstracting based on the current digital image processing *** program can be used to measure tomato leaf *** algorithm used to remove petiole combined erosion,dilation thinning algorithm and did less damage to tomato leaf image than simply use erosion and dilation algorithm. 30 greenhouse tomato leaf samples were picked to examine the abstracting *** results of the image processing measurements and the measurements using portable area meter LI-3000 were analyzed and the correlation coefficient of single-leaf areas is 0.962,which shows that the algorithm is very *** characters that were abstracted in this research are not enough for analysis on the plant growth information,but the study laid a foundation for further research.

关键词： image processing technology Leaf Area Tomato Petiole Removing Algorithm

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