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Research on Concrete Beam Crack Recognition Algorithm Based on block Threshold Value Image Processing

Structural Durability & Health Monitoring 2020年第4期14卷 355-374页

作者： Wenting Qiao Xiaoguang Wu Wen Sun Qiande Wu School of Highway Chang'an UniversityXi'an710064China Iner Mongolia Transport Construction Engineering Quality Supervision Bureau Hohhot010020China Jiangsu Fasten Matenial Analysis and Inspecting Co LtdJiangyin214446China School of Civil Engineering Southeast UniversityNanjing210000China

To solve the problem that the digital image recognition accuracy of concrete structure cracks is not high under the condition of uneven ill umination and complex surface color of concrete structure,this paper has proposed a block segmentation method of maximum entropy threshold based on the digital image data obtained by the ACTIS automatic detection *** steps in this research are as follows:*** crack digital images of concrete specimens with typical fea-tures were collected by using the Actis system of KURABO Co,Ltd,of Japan in the concrete beam bending *** images are segmented into blocks to dis-tinguish backgrounds of different *** max imum interclass average gray difference method is used to distinguish the sub-blocks and screen out the image blocks that need to be *** is made to the image with 2D max imum entropy threshold segmentation method to obtain the binary image,and the target image can be obtained by screening the connected domain features of the binary *** have shown that compared with other algo-rithms,the proposed method can effectively decrease the image over-segmentation and under segmentation rates,highlight the characteristics of the target cracks,solve the problems of excessive difference between the identified length and actual length of cracks caused by background gray level change and uneven ilumnination,and effectively improve the recognition accuracy of bridge concrete cracks.

关键词： Concrete crack block segmentation maximum entropy segmentation algorithms maximum interclass variance(Otsu)method

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Derivation of Optimal Global Equalization Function with Variable Size block Based Local Contrast Enhancement

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Journal of Measurement Science and Instrumentation 2010年第4期1卷 334-337页

作者： Ralph Oyini Mbouna Young-joon HAN Electrical and Computer Engineering Temple University

A conventional global contrast enhancement is difficult to apply in various images because image quality and contrast enhancement are dependent on image characteristics largely. And a local contrast enhancement not only causes a washed-out effect, but also blocks. To solve these drawbacks, this paper derives an optimal global equalization function with variable size block based local contrast enhancement. The optimal equalization function makes it possible to get a good quality image through the global contrast enhancement. The variable size block segmentation is firstly exeoated using intensity differences as a measure of similarity. In the second step, the optimal global equalization function is obtained from the enhanced contrast image having variable size blocks. Conformed experiments have showed that the proposed algorithm produces a visually comfortable result image.

关键词： global oontrast enhancement local contrast enhancement optimal equalization function block segmentation variable size block

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