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

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

[Jan]

Please explain the problem with any details. Just showing two pictures does not really help.

Answer 1

[Jan]

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.

[Niranjan]

Thanks Simon, It worked :)