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Laboratory of Image Processing

Laboratory of Image Processing. Pier Luigi Mazzeo pierluigi.mazzeo@cnr.it July 23, 2014. Filtering. Neighbourhood processing. Mean. Filtering in MatLab. filter2. f ilter2 (cont.). fspecial ( low pass filters ).

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Laboratory of Image Processing

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  1. Laboratory of Image Processing Pier Luigi Mazzeo pierluigi.mazzeo@cnr.it July 23, 2014

  2. Filtering

  3. Neighbourhood processing

  4. Mean

  5. Filtering in MatLab

  6. filter2

  7. filter2 (cont.)

  8. fspecial (low pass filters) Produce an Averagefiltering image using 9x9 filter and a 25x25 filter

  9. fspecial (low pass filters) >> hsize = 10; >> sigma = 5; >> h = fspecial(‘gaussian’ hsize, sigma); >> mesh(h); >> imagesc(h); >> outim = imfilter(c, h); >> imshow(outim);

  10. fspecial (low pass filters) for sigma=1:3:10 h = fspecial('gaussian‘, fsize, sigma); out = imfilter(c, h); imshow(out); pause; end

  11. Noise >> noise = randn(size(c)).*sigma; >> output = c+ noise; Periodicnoise

  12. Cleaning salt and pepper noise

  13. fspecial (high pass filters)

  14. fspecial (high pass filters)

  15. Unsharpmasking >> My = fspecial(‘sobel’); >> outim = imfilter(double(c), My); >> imagesc(outim); >> colormap gray; Find the image ‘pelicans.tif’ from internet and use u filter

  16. Cannyedge detector MATLAB: edge(c, ‘canny’); >>help edge I = imread('circuit.tif'); BW1 = edge(I,'prewitt'); BW2 = edge(I,'canny'); figure, imshow(BW1) figure, imshow(BW2)

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