matlab-基于加权焦点度量和四叉树的多焦点图像分割算法matlab仿真-源码

clc; clear; close all; warning off; addpath(genpath(pwd)); name = 5; % Initialise the maximum split level level = 0; % Initialise the maximum block size permitted pmax = 0; % default image number and type N = 2; type = '.bmp'; % Set the Image name switch name case 1 str = 'clock'; case 2 str = 'lab'; case 3 str = 'pepsi'; case 4 str = 'OpenGL'; case 5 str = 'flower'; case 6 str = 'disk'; case 7 str = 'toy'; N = 3; end fprintf('Processing Image %s :\n', str); for opt = 2 % Get dimensions of multi-focus images inImg = double(imread (strcat('example images\',str,num2str(1),type))); [p1,p2,p3] = size(inImg); % Extend the image dimensions to 2 ^ X; X <= 512 dim = max(p1, p2); maxDim = 1024; while(dim < maxDim || dim == maxDim) maxDim = maxDim / 2; end maxDim = maxDim * 2; % if the maxDim == 2048, exit the program if (maxDim == 2048) disp('Image size is too big, it cannot process!'); return; end % Store the multi-focus source images mImg=zeros(p1,p2,N); for q=1:N % Read the image data inImg = imread (strcat('example images\',str,num2str(q),type)); [p1,p2,p3] = size(inImg); % Convert image data from uint8 to double inImg = double(inImg); % Store the temp image mImg(:,:,q)=inImg; end tic % Weighted Block Size sz = 17; % Initialize the focus measure maps FMs = zeros(p1, p2, N); if opt == 1 disp('Fused method 1: Sum of Modified laplacian'); for kk = 1 : N f = SML(mImg( : , : , kk), 1, 5); FMs(:,:,kk) = f; end method = 'SML'; elseif opt == 2 disp('Fused method 2: Sum of Weighted Modified laplacian'); for kk = 1 : N f = SML(mImg( : , : , kk), 1, 5); FM = Local_Saliency(f, sz); FMs(:,:,kk) = FM; end method = 'SWML'; end %% Extend Imgs and Salmaps to maxDim( 2 ^ X ) Imgs = zeros(maxDim, maxDim, N); dx = ceil((maxDim - p1) / 2); dy = ceil((maxDim - p2) / 2); Imgs(dx + 1 : dx + p1, dy + 1 : dy + p2, : ) = mImg; Salmaps = zeros(maxDim, maxDim, N); Salmaps(dx + 1 : dx + p1, dy + 1 : dy + p2, : ) = FMs; %% Decomposition level and max permitted block-size must be restricted!!! pmaxDim = maxDim / 2; % Set the Default level, when not set level if level == 0 level = log2(maxDim); end % Set the default maximum block size permitted if pmax == 0 pmax = maxDim; end %% Quad tree docomposition process pmin = 2; Num = N; [S, Fusion_tag, maxFM] = qt_sm_fusion(Imgs, Salmaps, Num, level); Fusion_decision_map = Fusion_tag(dx + 1 : dx + p1, dy + 1 : dy + p2); maxFM = maxFM(dx + 1 : dx + p1, dy + 1 : dy + p2); %% 1. First Filter: Open and Close morphilogical filtering Iter = 1; Fusion_decision_map = morph_filter(Fusion_decision_map, N, Iter); %% 2. Second Filter: Fiter small blocks inside smallsz = p1 * p2 / 40; Fusion_decision_map = Small_Block_Filter(Fusion_decision_map, N, smallsz); FImg = zeros(p1,p2); %% 1. the defined part, copied directly according to the decision map for ii = 1 : Num FImg = FImg + mImg(:,:,ii) .* (Fusion_decision_map == ii); end %% 2. the non-defined part, copied by maximum selection method max_tag = zeros(p1, p2, N); img_tag = zeros(p1, p2); % Find the maximum FM in each FM for ii = 1 : N tag = (FMs(:,:,ii) == maxFM); max_tag(:,:,ii) = tag; img_tag = img_tag + tag .* ii; end % The nonpart images and maximum selection non_part = (Fusion_decision_map < 1); nonImgs = mImg; part1 = zeros(p1,p2); for ii = 1 : N nonImgs(:,:,ii) = nonImgs(:,:,ii) .* non_part; part1 = part1 + nonImgs(:,:,ii) .* max_tag(:,:,ii); end % The positions where more than one FM(i) have the maxFM max_num = sum(max_tag, 3); % The sigle and multiple positions single_num = (max_num == 1); multi_num = 1 - single_num; % If there are more than one FMi equal to maxFM part2 = sum(nonImgs, 3) ./ N; % As to the whole nonpart nonPart = part1 .* single_num + part2 .* multi_num; % Final Fused image FImg FImg = FImg + nonPart; FImg = uint8(FImg); figure,imshow(FImg); figure,imshow(mat2gray(Fusion_decision_map)) %-------------------------------------------------------------------------- % Store the Fusion decision map and the fusion image %-------------------------------------------------------------------------- imwrite((Fusion_decision_map ./ N), strcat('fusion decision maps\', method, '_', str, '.bmp')); imwrite(FImg, strcat('fusion results\', method, '_', str, '.bmp')); end