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ÈçÌ⣬²»»áÓÃmatlabÁÙʱ±§·ð½Å£¬Çë´ó¼Ò°ïæ¿´¿´£¬Ô´×Ô http://www.librow.com/articles/article-7 // 2D ALPHA-TRIMMED MEAN FILTER implementation // image - input image // result - output image // N - width of the image // M - height of the image // alph - filter alpha parameter void _alphatrimmedmeanfilter(const element* image, element* result, int N, int M, int alpha) { // Start of the trimmed ordered set const int start = alpha >> 1; // End of the trimmed ordered set const int end = 9 - (alpha >> 1); // Move window through all elements of the image for (int m = 1; m < M - 1; ++m) for (int n = 1; n < N - 1; ++n) { // Pick up window elements int k = 0; element window[9]; for (int j = m - 1; j < m + 2; ++j) for (int i = n - 1; i < n + 2; ++i) window[k++] = image[j * N + i]; // Order elements (only necessary part of them) for (int j = 0; j < end; ++j) { // Find position of minimum element int min = j; for (int l = j + 1; l < 9; ++l) if (window[l] < window[min]) min = l; // Put found minimum element in its place const element temp = window[j]; window[j] = window[min]; window[min] = temp; } // Target index in result image const int target = (m - 1) * (N - 2) + n - 1; // Get result - the mean value of the elements in trimmed set result[target] = window[start]; for (int j = start + 1; j < end; ++j) result[target] += window[j]; result[target] /= 9 - alpha; } } |
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