Mean shift 算法在带钢缺陷图像分割中的应用

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Application of the Mean shift algorithm in steel strip image segmentation

YANG Shui-shan1;HE Yong-hui2;ZHAO Wan-sheng1;PENG Tie-gen2

(1. School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin 150001，China;2. Resarch Institute of Bao Steel, Shanghai 201900，China)

Received:1900-01-01 Revised:1900-01-01 Online:2007-12-20 Published:2007-12-20

Abstract

Abstract: Defect segmentation results affect the precision of classification in the automatic strip surface defect detection system. In order to obtain a better result, the mean shift algorithm is presented to segment the defects in strip images. The mean shift algorithm is used to smooth the region of interest in the image and detect the defect’s edge, and its effectiveness is compared with that of the median filter. Test results show that it can smooth strip images effectively and can detect the edges of defect objects accurately. The mean shift algorithm can work effectively in strip image segmentation.

Key words: image segmentation, steel strip defects, image recognition, Mean shift

CLC Number:

TP391.4

YANG Shui-shan1;HE Yong-hui2;ZHAO Wan-sheng1;PENG Tie-gen2. Application of the Mean shift algorithm in steel strip image segmentation
[J].J4, 2007, 34(6): 1015-1018.

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Application of the Mean shift algorithm in steel strip image segmentation

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