matlab-基于阴影检测和平衡亮度差阴影消除算法的MATLAB仿真-源码

clc; clear; close all; warning off; addpath(genpath(pwd)); I=imread('3.png'); [x,y,z]=size(I); figure('Name','Processing Steps'),subplot(3,2,1), imshow(I),title('Image 1: Original Image'); I=uint8(I); temp1=I; half_intensity=I/2; subplot(3,2,2), imshow(half_intensity),title('Image 2: Half Intensity Image'); Double_intensity=I*2; subplot(3,2,3), imshow(Double_intensity),title('Image 3: Double Intensity Image'); temp2=Double_intensity; for i=1:1:x for j=1:1:y if (Double_intensity(i,j,1)>=252 ||Double_intensity(i,j,2)>=252||Double_intensity(i,j,3)>=252) %Bright background removel Double_intensity(i,j,:)=0; end if (temp1(i,j,1)<=120 && temp1(i,j,1)>=12) %Shadow part Removel temp1(i,j,:)=0; end end end % I= imnoise(Double_intensity,'salt & pepper', 1); Double_intensity(:,:,1)= medfilt2(Double_intensity(:,:,1), [3,3]); Double_intensity(:,:,2)= medfilt2(Double_intensity(:,:,2), [3,3]); Double_intensity(:,:,3)= medfilt2(Double_intensity(:,:,3), [3,3]); intensity_difference=temp2-half_intensity; output=temp1+Double_intensity; subplot(3,2,4), imshow(Double_intensity),title("Image 4: Shadow Object's"), subplot(3,2,5), imshow(temp1),title('Image 5: bight background'), subplot(3,2,6), imshow(output),title('Image 6: Output 1: most accurate result'), % subplot(3,2,7), imshow(intensity_difference),title('Image 7: output 2:Intensity difference'); figure('Name','Original Image Vs Processed Image'), subplot(1,2,1),imshow(I),title("Original Image"), subplot(1,2,2),imshow(output),title("Processed Image"),