Image segmentation of ultrasonic phased array combined color space transformation with GrabCut
WANG Kai;CAO Xiaojie;School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science;
In order to realize the automation of industrial fault diagnosis,the target segmentation problem of ultrasonic phased array nondestructive detection images should be solved first. To this end,an ultrasonic phased array image segmentation method combining color space transformation with GrabCut algorithm is proposed. This method improves the traditional GrabCut algorithm,enhances the ultrasound phased array image by adaptive histogram equalization,then combines the color space transformation and GrabCut algorithm to segment the target image for obtaining the image segmentation result. Experiments showthat compared with the traditional GrabCut algorithm,the proposed method can segment the target more accurately,overcome the background noise,and preserve the target image details.
【CateGory Index】： TP391.41;TP274.53