NDLI: Recognition and Extraction Algorithm Design for Defect Characteristics of Armor-plate Flaw Detection Image

Content Provider	IEEE Xplore Digital Library
Author	Xiaohao Li Ying Huang Qunchao Zhao
Copyright Year	2010
Abstract	Aiming at the detection image of strip steel which rolled on the 15mm plate production line in a steel plant, the defect characteristics recognition and extraction algorithm had been analyzed and designed, based on the computer image processing and pattern recognition theory. And the corresponding defect characteristics recognition and processing program had been programmed by vc++6.0 computer language. In the paper, the 8 direction pixel gray value search algorithm had been compiled based on the computer image color grading theory firstly, then to extract every gray level pixel information of the armor-plate detection image, and to carry out the corresponding every gray level pixel distribution probability statistic. Based on the statistical results, the two-dimension histogram Fish evaluation function algorithm for the armor-plate CCD image processing had been designed, and the result of practical application shows that the defect characteristics recognition system which programmed based on the algorithm ahead can accurately recognize and extract the defect characteristics data from the armor-plate rolled detection image, and can effectively satisfy the industrial production requirement of plate rolled.
Starting Page	288
Ending Page	291
File Size	384462
Page Count	4
File Format	PDF
ISBN	9781424470815
e-ISBN	9781424470822
DOI	10.1109/ICIC.2010.344
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis image processing Strips recognition algorithm Image recognition evaluation function Image processing Pattern recognition Character recognition Steel Data mining histogram Production Pixel
Content Type	Text
Resource Type	Article

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