how to apply vision function

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reema 2014-6-1

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/131970-how-to-apply-vision-function

评论： reema 2014-6-6

i have a problem me want when face detect on the bases of skin color only face is in frame mee want to use vision function(Viola-Jones Algorithm). but am unable to do this i want to use vision function behaind the detetion buttion and only face is detected. see the image i hope understand my problem well

see in this image on detection part in 6th axes frame is on neck also ..me want only frame on face just using vision function ..can any one help me??? mee using matlab r2013a

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Answer 1

Image Analyst 2014-6-1

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https://ww2.mathworks.cn/matlabcentral/answers/131970-how-to-apply-vision-function#answer_139045

ExtractBiggestBlob.m

Try using imclose() to join small gaps. Then take the largest blob. If the neck is separated from the face, the face will be larger and you will extract only the face. bwconvhull() may also be of interest to you. See my attached demo for taking the N largest or smallest blobs.

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reema 2014-6-2

在 MATLAB Online 中打开

my code behaind face detection button is:

function pushbutton2_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);
s=[0 0 0; 1 1 1 ; 0 0 0];
%s=[0 1 0; 1 1 1 ; 0 1 0];
dil=imerode(binary,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('Face Detection','Color','black','FontSize',11,'FontWeight','bold');
%title('Outlines, from bwboundaries()'); 
%axis square;
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.)
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
  guidata(hObject, handles);
  axis equal;
  axis tight;
  axis off;
  % hObject    handle to pushbutton2 (see GCBO)
  % eventdata  reserved - to be defined in a future version of MATLAB
  % handles    structure with handles and user data (see GUIDATA)
how can i embed this (extractbiggestblobe.m)code? how can i apply this

reema 2014-6-4

编辑：reema 2014-6-4

在 MATLAB Online 中打开

sir i embed this code with my binary image code

%---------------------------------------------------------------------------
% Extract the largest area using our custom function ExtractNLargestBlobs().
% This is the meat of the demo!
biggestBlob = ExtractNLargestBlobs(binaryImage, 1);
%---------------------------------------------------------------------------

then this error show:

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

    me embed your recommended code like that check its right::
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;