Why does my GUI interface get eroded while running my code???

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Niranjan
Niranjan 2011-2-24
I've got a new problem. When I try to run my skin extraction code in GUI, the GUI interface gets eroded. I am giving my skin extraction GUI function here. Can anybody tell me what the problem is?
% --- Executes on button press in skinextraction.
function skinextraction_Callback(hObject, eventdata, handles)
% hObject handle to skinextraction (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
fullImageFileName='shreya.jpg';
% Read in image into an array.
[rgbImage storedColorMap] = imread(fullImageFileName);
[rows columns numberOfColorBands] = size(rgbImage);
% If it's monochrome (indexed), convert it to color.
% Check to see if it's an 8-bit image needed later for scaling).
if strcmpi(class(rgbImage), 'uint8')
% Flag for 256 gray levels.
eightBit = true;
else
eightBit = false;
end
if numberOfColorBands == 1
if isempty(storedColorMap)
% Just a simple gray level image, not indexed with a stored color map.
% Create a 3D true color image where we copy the monochrome image into all 3 (R, G, & B) color planes.
rgbImage = cat(3, rgbImage, rgbImage, rgbImage);
else
% It's an indexed image.
rgbImage = ind2rgb(rgbImage, storedColorMap);
% ind2rgb() will convert it to double and normalize it to the range 0-1.
% Convert back to uint8 in the range 0-255, if needed.
if eightBit
rgbImage = uint8(255 * rgbImage);
end
end
end
% Convert RGB image to HSV
hsvImage = rgb2hsv(rgbImage);
% Extract out the H, S, and V images individually
hImage = hsvImage(:,:,1);
sImage = hsvImage(:,:,2);
vImage = hsvImage(:,:,3);
% Compute and plot the histogram of the "hue" band.
%hHuePlot = subplot(3, 4, 6);
[hueCounts, hueBinValues] = imhist(hImage);
maxHueBinValue = find(hueCounts > 0, 1, 'last');
maxCountHue = max(hueCounts);
%bar(hueBinValues, hueCounts, 'r');
grid on;
% Compute and plot the histogram of the "saturation" band.
[saturationCounts, saturationBinValues] = imhist(sImage);
maxSaturationBinValue = find(saturationCounts > 0, 1, 'last');
maxCountSaturation = max(saturationCounts);
[valueCounts, valueBinValues] = imhist(vImage);
maxValueBinValue = find(valueCounts > 0, 1, 'last');
maxCountValue = max(valueCounts);
maxGrayLevel = max([maxHueBinValue, maxSaturationBinValue, maxValueBinValue]);
% Assign the low and high thresholds for each color band.
% Take a guess at the values that might work for the user's image.
hueThresholdLow = 0;
hueThresholdHigh = graythresh(hImage);
saturationThresholdLow = graythresh(sImage);
saturationThresholdHigh = 1.0;
valueThresholdLow = graythresh(vImage);
valueThresholdHigh = 1.0;
% Now apply each color band's particular thresholds to the color band
hueMask = (hImage >= hueThresholdLow) & (hImage <= hueThresholdHigh);
saturationMask = (sImage >= saturationThresholdLow) & (sImage <= saturationThresholdHigh);
valueMask = (vImage >= valueThresholdLow) & (vImage <= valueThresholdHigh);
% Display the thresholded binary images.
yellowObjectsMask = uint8(hueMask & saturationMask & valueMask);
smallestAcceptableArea = 100; % Keep areas only if they're bigger than this.
% Get rid of small objects. Note: bwareaopen returns a logical.
yellowObjectsMask = uint8(bwareaopen(yellowObjectsMask, smallestAcceptableArea));
% Smooth the border using a morphological closing operation, imclose().
structuringElement = strel('disk', 4);
yellowObjectsMask = imclose(yellowObjectsMask, structuringElement);
% Fill in any holes in the regions, since they are most likely red also.
yellowObjectsMask = uint8(imfill(yellowObjectsMask, 'holes'));
figure;imshow(yellowObjectsMask, []);
export_fig(gcf, 'temp/pred_prey.jpg');
PLEASE HAVE A LOOK AT THIS SCREENSHOT TO KNOW WHAT I ACTUALLY MEAN
https://picasaweb.google.com/lh/photo/HKIUk-MFuRIs5LzW__70SpOzMXS1UfqXPDW9N1lFu0w?feat=directlink
https://picasaweb.google.com/lh/photo/g_Zr_U-7W-Fpv8jFEQOng5OzMXS1UfqXPDW9N1lFu0w?feat=directlink
  1 个评论
Jan
Jan 2011-2-24
Please explain the problem with any details. Just showing two pictures does not really help.

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采纳的回答

Jan
Jan 2011-2-24
I'm not sure, what your problem exactly is. But I guess you do not want the AXES object appear in your GUI. Then:
Omit the "grid on;"
A general method to inspect such problems is setting a breakpoint in the code and use the debugger to step through the program line by line. Then you will immediately see, which line causes the problem.

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