The Application of Virtex-II Pro FPGA in High-Speed Image Processing Technology of Robot Vision Sensor

with high speed development of the digital image processing technology, and computer image processing technology used in scientific research more and more widely. Mineral, resources and environment, and other fields, image processing technology also has a wide range of applications. This paper is the application of digital image processing techniques to realize to study all the features of ore and automatically recognize ore , pattern recognition method applied to mineral recognition and testing field, so as to achieve the goal of mineral appraisal.

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Study of Morphological Characteristics of Electrical Apparatus Arc by High-Speed Photography and Image Processing Technology

Journal of Algorithms & Computational Technology ◽

10.1260/1748-3018.8.1.113 ◽

2014 ◽

Vol 8 (1) ◽

pp. 113-125

Author(s):

Liu Xiangjun ◽

Lan Taishou ◽

Xie Baohe

Keyword(s):

Image Processing ◽

High Speed ◽

Morphological Characteristics ◽

Processing Technology ◽

High Speed Photography ◽

Image Processing Technology ◽

Electrical Apparatus

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A Detection System of Tool Condition Based on Image Processing Technology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.510.375 ◽

2012 ◽

Vol 510 ◽

pp. 375-379

Author(s):

Xing Yuan Kou ◽

Chen Sheng Wang ◽

Lei Li

Keyword(s):

Image Processing ◽

High Speed ◽

Detection System ◽

Digital Processing ◽

Processing Technology ◽

Detection Accuracy ◽

Size Change ◽

Tool Condition ◽

Image Processing Technology ◽

Processing Solution

This paper focused on introducing a real-time detection system of tool condition based on image processing technology and determined final algorithm after analyzing several different operators of edge detection. Firstly, the system will complete an acquisition of tool image, and transfer it to the computer. Then the image will be processed by some digital processing algorithms. At last, we can get the tool wear according to the size change of a tool. The result of this study showed that the detection system and its image processing solution could give a desired result. The detection accuracy could reach macron level, and the degree of automation could be improved too. So the system can be used to better meet the needs of high precision and high-speed in modern production.

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Study on Automated Scrap-Sorting by an Image Processing Technology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.26-28.453 ◽

2007 ◽

Vol 26-28 ◽

pp. 453-456

Author(s):

Chan Wook Kim ◽

Hang Goo Kim

Keyword(s):

Image Processing ◽

High Speed ◽

Ferrous Metal ◽

Processing Technology ◽

Functional Tests ◽

Image Processing Technology ◽

Sorting System

In this study, an automated scrap-sorting system using image processing technology has been designed and examined to automatically sort out specified materials from a mixture, especially Cu and other non-ferrous metal scraps from a mixture of iron scraps. In the functional tests of the system, its efficiency in the separation of Cu scraps from its mixture with Fe ones reaches to 75 % or more at a conveying speed of 20 m/min., and thus it is expected that the system can be commercialized in the industry of shredder makers if an automated sorting system of high speed is realized.

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