Research of Double-threshold Segmentation of Brazing-area Defect of Saw Based on Otsu and HSV Color Space

被引：0

作者：

Xiong Lin Lin ^{[1
]}

Wang Zhong ^{[1
]}

Wang Xin Zhong ^{[1
]}

机构：

[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

Otsu; HSV color space; double-threshold; saw;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Saws are important tools of cutting process in industrial production. However there are often wasters with surface defects due to processing technique, therefore the detection of surface defects of saws is crucial to the quality. This paper concerns the segmentation of brazing-area of saw. Considering real-time request of the detection, Otsu method which is simple and rapid was used. HSV color space which is similar to visual model was chosen. Gray space Otsu algorithm and color space double-threshold segmentation based on Otsu in paper [13] were compared with method combined H-S information in HSV color space with Otsu in this paper. The results show that the algorithm in this paper has a good effect and can meet real-time demand.

引用

页码：1392 / 1395

页数：4