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《Microcomputer & Its Applications》 2017-23
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Edge detection of images based on NSCT and improved Canny

Fu Huadong;Liao Yipeng;College of Physics and Information Engineering,Fuzhou University;  
In order to extract more abundant image edge information,a method of image edge detection based on Nonsubsampled Contourlet Transform( NSCT) and improved Canny was proposed.In this method,the image was decomposed in multiple scales by using NSCT to obtain the low frequency sub-band and high frequency sub-band.Firstly,the improved Canny operator was used to extract the low frequency contours for the low frequency sub-band,and then the nonlinear function was used to adjust the coefficients in the various directions of the high frequency sub-band to realize the edge enhancement and noise suppression.Finally,the complete edge image was obtained through the fusion of the measurement results of the same and different scales.Experimental results show that compared with Sobel,Canny and the existing NSCT edge detection method,the proposed method has better edge detection effect,and the edge location is accurate,complete,continuous and rich in details.
【Fund】: 国家自然科学基金项目(61170147)
【CateGory Index】: TP391.41
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