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ROZ1 – cvičení 4

ROZ1 – cvičení 4. Hranov é detektory, ekvalizace histogramu - v ý sledky. Roberts. function h = roberts(I, prah) vert = abs(conv2(I,[-1 1],'same')) > prah; horiz = abs(conv2(I,[-1;1],'same')) > prah; h = vert | horiz;. pro prahy 10 20 50. Sobel.

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ROZ1 – cvičení 4

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  1. ROZ1 – cvičení 4 Hranové detektory, ekvalizace histogramu - výsledky

  2. Roberts function h = roberts(I, prah) vert = abs(conv2(I,[-1 1],'same')) > prah; horiz = abs(conv2(I,[-1;1],'same')) > prah; h = vert | horiz; pro prahy 10 20 50

  3. Sobel function h = sobel (I, prah) M = [1 2 1; 0 0 0; -1 -2 -1]; h = abs(conv2(I,M,'same')) > prah; h = h | (abs(conv2(I,M','same')) > prah); M = [2 1 0; 1 0 -1; 0 -1 -2]; h = h | (abs(conv2(I,M,'same')) > prah); h = h | (abs(conv2(I,rot90(M),'same')) > prah); pro prahy 50 100 200

  4. Maar Pro tresh = 0,3 2 4

  5. Roberts SobelMaar

  6. Ekvalizace histogramu

  7. Ekvalizace histogramu function R = ekvHist(Img) B = 255; % intenzita bile barvy Img = round(Img); Vel = length(Img(:)); % pocet pixelu v obrazku R = Img; % vysledny snimek S = 0; % pocet zpracovanych pixelu for K = 0 : B % prochazime pixely presintenzity W = (Img == K); % pixely s intenzitou K P = sum (W(:)); % pocet techto pixelu R(W) = round(B * (S + P/2) / Vel); % jakou intenzitu jim priradime S = S + P; % pocet zpracovanych pixelu end

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