Histogram Processing

Histogram Processing

EE4206/EE5806 Digital Image processing

notes on Ch3, page 120

1. The histogram of a digital image with intensity levels in the range [0,L-1] is a discrete function h(rk) = nk, where rk is the k-th intensity value and nk is the number of pixels in the image with intensity rk.

2. It is common practice to normalize a histogram by dividing each of its components by the total number of pixels in the image, denoted by the product MN, where, as usual, M and N are the row and column dimensions of the image.

3. Thus, a normalized histogram is given by p(rk) = nk/MN, for k = 0,1,2,...L-1.

4. Loosely speaking, p(rk) is an estimate of the probability of occurrence of intensity level rk in an image. The sum of all components of a normalized histogram is equal to 1.

日本女星 酒井法子 向以溫柔清純的形象深入民心，當丈夫高相祐一涉嫌藏毒，酒井失蹤超過四天，人人均同情她、擔心她自尋短見之際，誰料事件昨天卻出現突破性發展，日本警方指酒井藏有興奮劑，對她發出拘捕令。

從「玉女派掌門」變「絕望靚太」，再由受害者變成逃犯，酒井的大激變，令所有人均為之錯愕。

http://www.youtube.com/watch?v=pfdT7lr6r0U&feature=related

http://www.youtube.com/watch?v=U4lB31sKUBk&feature=related