【图像边缘检测】基于matlab灰度图像的积累加权边缘检测【含Matlab源码 2010期】.zip

%Cumulative weighted edge detection lpdb2 =[ -0.12940952255092145 0.22414386804185735 0.83651630373746899 0.48296291314469025 ] hpdb2= [-0.48296291314469025 0.83651630373746899 -0.22414386804185735 -0.12940952255092145 ] lpdb22=[0.48296291314469025 0.83651630373746899 0.22414386804185735 -0.12940952255092145 ] hpdb22 =[-0.12940952255092145 -0.22414386804185735 0.83651630373746899 -0.48296291314469025 ] x = imread('lena.jpg'); I = im2double(x); it = 3; it2= 2; LH=img_lh(I,it,lpdb2,hpdb2); HL=img_hl(I,it,lpdb2,hpdb2); [LH_recomp,HL_recomp]=img_LH_and_HL_recomp(LH,HL,it,lpdb22,hpdb22) for i=1:it LH_recomp_decomposed{i}=rec_decomp(LH_recomp{i},it2,lpdb2,hpdb2); HL_recomp_decomposed{i}=rec_decomp(HL_recomp{i},it2,lpdb2,hpdb2); end for i=1:it fused{i}=img_fusion(LH_recomp{i},HL_recomp{i},lpdb2,hpdb2,lpdb22,hpdb22,it2); figure imshow(fused{i},[]); end %The scale multiplication is implemented using the corelation of two adjacent dwt scales %in this case, the correlation is computed using the two adjacent levels , 2 and 3 scale2= (4*fused{2}+2*fused{3})/4.4721; %in this case, the correlation is computed using the two adjacent levels , 1 and 2 scale1= (8*fused{1}+4*fused{2})/8.944; figure subplot(131) imshow(I); subplot(132) imshow(im2bw(scale1,0.70));%noise suppressed at this treshold subplot(133) imshow(im2bw(scale2,0.70));