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《Computer Engineering and Design》 2010-01
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Image segmentation algorithm based on mean shift with high boundary precision and anti-noise performance

LENG Lu1,2,LI Ming1,ZHANG Jia-shu2(1.Key Laboratory of Nondestructive Test(Ministry of Education),Nanchang Hangkong University,Nanchang 330063,China;2.Sichuan Key Laboratory of Signal and Information Processing,Southwest Jiaotong University,Chengdu 610031,China)  
There is not an uniform standard of determining the bandwidth of window of kernel function for mean shift.Images are divided into three sub-images according to the orientation information of edges detected by canny operator.Regular edge sub-image contained regular edge pixels.Nonregular edge sub-image is composed of edge pixels whose orientation changed sharply.Non-edge sub-image consisted of inner pixels in smooth region and noise pixels.The bandwidth of kernel function window in regular edge sub-image and non-edge sub-image is large in order to smooth inner region and improve anti-noise performance.The bandwidth of kernel function window in nonregular edge sub-image is small so that the segmented image had more accurate boundary.The experimental results show that the method of selection bandwidth of kernel function window in different sub-image is effective to metal fracture images for more accurate boundary and better anti-noise performance.
【Fund】: 国家自然科学基金项目(60475002);; 航空科学基金项目(2008ZD56003)
【CateGory Index】: TP391.41
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