crop the image(show in axses)

Question

reema 2014-6-2

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/132075-crop-the-image-show-in-axses

评论： reema 2014-7-27

see this image:

i want to crop the face and then show it in next axes7..how can i display the detected face in next axse7..help me me using matlab r2013a

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Answer 1

Image Analyst 2014-6-2

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/132075-crop-the-image-show-in-axses#answer_139141

I already answered this in http://www.mathworks.com/matlabcentral/answers/131970#answer_139045 and my answer here wouldn't be any different. You made a comment with code there but didn't ask a question so I don't know how to respond to that. If it worked, mark it at Accepted, and let me know if this question is not applicable anymore and I can delete it.

By the way, you have a bunch of questions that you've never accepted , and I still have a question for you in http://www.mathworks.com/matlabcentral/answers/131985-display-text-in-next-line-in-edit-box#comment_217169 Please finish up your old posts.

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reema 2014-6-6

编辑：reema 2014-6-6

在 MATLAB Online 中打开

see sir the code which me apply see me apply right or not?

function pushbutton4_Callback(hObject, eventdata, handles)
 function binaryImage = ExtractNLargestBlobs(binaryImage, numberToExtract)
I=double(handles.I);
[hue,s,v] =rgb2hsv(I);
%a=rgb2hsv(I);
cb =  0.148* I(:,:,1) - 0.291* I(:,:,2) + 0.439 * I(:,:,3) + 128;
cr =  0.439 * I(:,:,1) - 0.368 * I(:,:,2) -0.071 * I(:,:,3) + 128;
[w h]=size(I(:,:,1));
for i=1:w
    for j=1:h            
        if  140<=cr(i,j) && cr(i,j)<=165 && 140<=cb(i,j) && cb(i,j)<=195 && 0.01<=hue(i,j) && hue(i,j)<=0.1     
            segment(i,j)=1;            
        else       
            segment(i,j)=0;    
        end    
    end
end
im(:,:,1)=I(:,:,1).*segment;   
im(:,:,2)=I(:,:,2).*segment; 
im(:,:,3)=I(:,:,3).*segment; 
binaryImage=im2bw(im);
%---------------------------------------------------------------------------
% Extract the largest area using our custom function ExtractNLargestBlobs().
% This is the meat of the demo!
biggestBlob = ExtractNLargestBlobs(binaryImage, 1);
%---------------------------------------------------------------------------
axes(handles.axes3);
imshow(biggestBlob);
 title('Binary Image','Color','black','FontSize',11,'FontWeight','bold');
guidata(hObject, handles);
axis equal;
axis tight;
axis off;

check sir wich mistake mee doingg..if you say then me send you my (.m) file iff you didn't understand my point

reema 2014-6-7

编辑：reema 2014-6-7

在 MATLAB Online 中打开

now i remove the line u suggest now my code is like that:

function pushbutton4_Callback(hObject, eventdata, handles)
I=double(handles.I);
[hue,s,v] =rgb2hsv(I);
%a=rgb2hsv(I);
cb =  0.148* I(:,:,1) - 0.291* I(:,:,2) + 0.439 * I(:,:,3) + 128;
cr =  0.439 * I(:,:,1) - 0.368 * I(:,:,2) -0.071 * I(:,:,3) + 128;
[w h]=size(I(:,:,1));
for i=1:w
    for j=1:h            
        if  140<=cr(i,j) && cr(i,j)<=165 && 140<=cb(i,j) && cb(i,j)<=195 && 0.01<=hue(i,j) && hue(i,j)<=0.1     
            segment(i,j)=1;            
        else       
            segment(i,j)=0;    
        end    
    end
end
im(:,:,1)=I(:,:,1).*segment;   
im(:,:,2)=I(:,:,2).*segment; 
im(:,:,3)=I(:,:,3).*segment; 
binary=im2bw(im);
%---------------------------------------------------------------------------
% Extract the largest area using our custom function ExtractNLargestBlobs().
% This is the meat of the demo!
biggestBlob = ExtractNLargestBlobs(binary, 1);
%--------------------------------------------------------------------------
axes(handles.axes3);
imshow(biggestBlob);
 title('Binary Image','Color','black','FontSize',11,'FontWeight','bold');
guidata(hObject, handles);
axis equal;
axis tight;
axis off;

now the error shows when me click on pushbutton4_callback button:

>> face Undefined function 'ExtractNLargestBlobs' for input arguments of type 'double'.

Error in face>pushbutton4_Callback (line 249) biggestBlob = ExtractNLargestBlobs(binary, 1);

Error in gui_mainfcn (line 96) feval(varargin{:});

Error in face (line 42) gui_mainfcn(gui_State, varargin{:});

Error in @(hObject,eventdata)face('pushbutton4_Callback',hObject,eventdata,guidata(hObject))

Error while evaluating uicontrol Callback:

now tell me where me doingg mistake..can i send you my whole coding file (.m)file

Image Analyst 2014-6-7

在 MATLAB Online 中打开

Just add this code onto the end of your m-file: Because you don't know how to do that I strongly suggest you read the part of the documentation about creating functions.

%==============================================================================================
% Function to return the specified number of largest or smallest blobs in a binary image.
% If numberToExtract > 0 it returns the numberToExtract largest blobs.
% If numberToExtract < 0 it returns the numberToExtract smallest blobs.
% Example: return a binary image with only the largest blob:
%   binaryImage = ExtractNLargestBlobs(binaryImage, 1)
% Example: return a binary image with the 3 smallest blobs:
%   binaryImage = ExtractNLargestBlobs(binaryImage, -3)
function binaryImage = ExtractNLargestBlobs(binaryImage, numberToExtract)
try
  % Get all the blob properties.  Can only pass in originalImage in version R2008a and later.
  [labeledImage, numberOfBlobs] = bwlabel(binaryImage);
  blobMeasurements = regionprops(labeledImage, 'area');
  % Get all the areas
  allAreas = [blobMeasurements.Area];
  if numberToExtract > 0
    % For positive numbers, sort in order of largest to smallest.
    % Sort them.
    [sortedAreas, sortIndexes] = sort(allAreas, 'descend');
  elseif numberToExtract < 0
    % For negative numbers, sort in order of smallest to largest.
    % Sort them.
    [sortedAreas, sortIndexes] = sort(allAreas, 'ascend');
    % Need to negate numberToExtract so we can use it in sortIndexes later.
    numberToExtract = -numberToExtract;
  else
    % numberToExtract = 0.  Shouldn't happen.  Return no blobs.
    binaryImage = false(size(binaryImage));
    return;
  end
  % Extract the "numberToExtract" largest blob(a)s using ismember().
  biggestBlob = ismember(labeledImage, sortIndexes(1:numberToExtract));
  % Convert from integer labeled image into binary (logical) image.
  binaryImage = biggestBlob > 0;
catch ME
  errorMessage = sprintf('Error in function ExtractNLargestBlobs().\n\nError Message:\n%s', ME.message);
  fprintf(1, '%s\n', errorMessage);
  uiwait(warndlg(errorMessage));
end

reema 2014-7-19

在 MATLAB Online 中打开

its works but how can i embed this with my code..see my codee: behind detected face button :after detection i want to perform recognition:

I=double(handles.I);
N=(handles.I);
[hue,s,v] =rgb2hsv(I);
%a=rgb2hsv(I);
cb =  0.148* I(:,:,1) - 0.291* I(:,:,2) + 0.439 * I(:,:,3) + 128;
cr =  0.439 * I(:,:,1) - 0.368 * I(:,:,2) -0.071 * I(:,:,3) + 128;
[w h]=size(I(:,:,1));
for i=1:w
    for j=1:h            
        if  140<=cr(i,j) && cr(i,j)<=165 && 140<=cb(i,j) && cb(i,j)<=195 && 0.01<=hue(i,j) && hue(i,j)<=0.1     
            segment(i,j)=1;            
        else       
            segment(i,j)=0;    
        end    
    end
end
im(:,:,1)=I(:,:,1).*segment;   
im(:,:,2)=I(:,:,2).*segment; 
im(:,:,3)=I(:,:,3).*segment; 
binary=im2bw(im);
%---------------------------------------------------------------------------
% Extract the largest area using our custom function ExtractNLargestBlobs().
% This is the meat of the demo!
biggestBlob = ExtractNLargestBlobs(binary, 1);
%--------------------------------------------------------------------------
s=[0 1 0; 1 1 1 ; 0 1 0];
dil=imerode(biggestBlob,s);
new12=im2bw(handles.I,0.15);
%Filling The Holes.
binaryImage = imfill(dil, 'holes');
%subplot(3,3,7); imshow(binaryImage);
binaryImage = bwareaopen(binaryImage,1890);   
%subplot(3,3,8);imshow(binaryImage);
labeledImage = bwlabel(binaryImage, 8);
blobMeasurements = regionprops(labeledImage, 'all');
%******
numberOfPeople = size(blobMeasurements, 1);
axes(handles.axes4);
imshow(handles.I); 
%title('Outlines, from bwboundaries()'); 
%axis square;merrii awazz nii aa rahii
hold on;
%boundaries = bwboundaries(binaryImage);
%for k = 1 : numberOfPeople
%thisBoundary = boundaries{k};
%plot(thisBoundary(:,2), thisBoundary(:,1), 'r', 'LineWidth', 2);
%end
% hold off;
axes(handles.axes4);
imshow(handles.I);
hold on;
%title('Original with bounding boxes');
%fprintf(1,'Blob # x1 x2 y1 y2\n');
for k = 1 : numberOfPeople % Loop through all blobs.
% Find the mean of each blob. (R2008a has a better way where you can pass the original image
% directly into regionprops. The way below works for all versionsincluding earlier versions.)
allBlobAreas = [blobMeasurements.Area];
blobArea = blobMeasurements(k).Area;
if blobArea>2000
thisBlobsBox = blobMeasurements(k).BoundingBox; % Get list of pixels in current blob.
x1 = thisBlobsBox(1);
y1 = thisBlobsBox(2);
x2 = x1 + thisBlobsBox(3);
y2 = y1 + thisBlobsBox(4);
     % fprintf(1,'#%d %.1f %.1f %.1f %.1f\n', k, x1, x2, y1, y2);
  x = [x1 x2 x2 x1 x1];
  y = [y1 y1 y2 y2 y1];
  %subplot(3,4,2);
  plot(x, y, 'LineWidth', 3);
  end
  end
for k = 1 : numberOfPeople           % Loop through all blobs.
    % Find the bounding box of each blob.
    thisBlobsBoundingBox = blobMeasurements(k).BoundingBox;  % Get list of pixels in current blob.
    % Extract out this coin into it's own image.
    subImage = imcrop(N, thisBlobsBoundingBox);
    % Display the image with informative caption.
%     figure(k);imshow(subImage);
end
axes(handles.axes9);
imshow(subImage); 
   title('Detected Face','Color','black','FontSize',11,'FontWeight','bold');
guidata(hObject, handles);
axis equal;
axis tight;
axis off;