
Error In My GUI ( I am doing hand signal recognition)  An empty cluster error occurred in every replicate.
Posted:
Feb 12, 2012 1:36 AM


I already made the GUI and snapshot working well, meanwhile sometimes I got this error can some1 explain it to me why?
THIS IS THE ERROR ??? Error using ==> kmeans at 382 An empty cluster error occurred in every replicate. Error in ==> segmentizeImage1 at 12 [cluster_idx cluster_center] = kmeans(ab,nColors,'distance','sqEuclidean', ... Error in ==> bui_simple>start_snap_Callback at 108 segmentizeImage1; Error in ==> gui_mainfcn at 96 feval(varargin{:}); Error in ==> bui_simple at 42 gui_mainfcn(gui_State, varargin{:}); Error in ==> @(hObject,eventdata)bui_simple('start_snap_Callback',hObject,eventdata,guidata(hObject)) ??? Error while evaluating uicontrol Callback REFER THE CODE BELOW ( I used it to track and crop the hand automatically): warning off stats:kmeans:EmptyCluster; rawImage = x; %x = is the image taken on snapshot I = rawImage; cform = makecform('srgb2lab'); J = applycform(I,cform); ab = double(J(:,:,2:3)); nrows = size(ab,1); ncols = size(ab,2); ab = reshape(ab,nrows*ncols,2); nColors = 2; [cluster_idx cluster_center] = kmeans(ab,nColors,'distance','sqEuclidean', ... 'Replicates',2); pixel_labels = reshape(cluster_idx,nrows,ncols); segmented_images = cell(1,2); rgb_label = repmat(pixel_labels,[1 1 3]); for k = 1:nColors color = I; color(rgb_label ~= k) = 0; segmented_images{k} = color; end mean_cluster_value = mean(cluster_center,2); [tmp, idx] = sort(mean_cluster_value); hand_cluster_num = idx(2); K = segmented_images{hand_cluster_num}; L = im2bw(segmented_images{hand_cluster_num},0.000); s = regionprops(rgb_label, I, {'Centroid','BoundingBox'}); % s(hand_cluster_num).Centroid % s(hand_cluster_num).BoundingBox centroid_x = uint16(s(hand_cluster_num).Centroid(1)); centroid_y = uint16(s(hand_cluster_num).Centroid(2)); cropped_x = uint16(s(hand_cluster_num).BoundingBox(1))+1; cropped_y = uint16(s(hand_cluster_num).BoundingBox(2))+1; cropped_w = uint16(s(hand_cluster_num).BoundingBox(4))2; cropped_h = uint16(s(hand_cluster_num).BoundingBox(5))2; % apply gaussian blur to remove noise PSF = fspecial('gaussian',7,10); L = imfilter(L,PSF,'symmetric','conv'); % cropped region of interest from main image M = L( cropped_y : (cropped_y+cropped_h), cropped_x: (cropped_x+cropped_w) ); % trim leading and leading zeroes M(:, logical(sum(abs(M)) == 0)) = []; cropped_h = size(M,1); cropped_w = size(M,2); non_zeroes = find(sum(abs(L))~=0); cropped_x = non_zeroes(1); % fill holes to remove flares M = imfill(M, 'holes'); y = M; z = imresize(y, [40 30]); z = z(:);

