基于SUSAN算法的边缘检测方法研究附Matlab代码.zip

%function [U,V,USAN] = SUSAN(A,maxInt,sigma,thresh,g,radius,width) % % Returns the USAN response of a greysale image % % INPUT: % A - the image. Intensity must be quantized as integers with a minimum % intensity 0 to a maximum maxInt % maxInt - the maximum intensity % sigma - the guassian mask coefficient % thresh - the maximum allowed difference between intensity values % g - the geometric threshold (0-1) % radius(optional) - radius considered in non-maximal suprresion % width(optional) - the width of the mask, which must be odd. % % OUTPUT: % U - the U coordinates of the corners % V - the V coordinates of the corners % USAN(optional) - the USAN image function [U,V,USAN] = SUSAN(A,maxInt,sigma,thresh,g,radius,width) if(nargin<6) radius = 2*ceil(sigma)+1; width = radius; elseif(nargin==6) width = 2*ceil(sigma)+1; end %compute the USAN response USAN = getUSAN(A,maxInt,sigma,thresh,width); %find the maximum points using non-maximal suppression [U,V] = localMax(-USAN, radius, -g);