If h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is a histogram in gray level range [0, L – 1]. Then how can we normalize a histogram?(a) If each value of histogram is added by total number of pixels in image, say n, p(rk)=nk+n(b) If each value of histogram is subtracted by total number of pixels in image, say n, p(rk)=nk-n(c) If each value of histogram is multiplied by total number of pixels in image, say n, p(rk)=nk * n(d) If each value of histogram is divided by total number of pixels in image, say n, p(rk)=nk / nI had been asked this question during an online interview.This is a very interesting question from Histogram Equalization and Processing topic in division Image Enhancement of Digital Image Processing

If h(rk) = nk, rk the kth gray level and nk total pixels with gray lev

1.	If h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is a histogram in gray level range [0, L – 1]. Then how can we normalize a histogram?(a) If each value of histogram is added by total number of pixels in image, say n, p(rk)=nk+n(b) If each value of histogram is subtracted by total number of pixels in image, say n, p(rk)=nk-n(c) If each value of histogram is multiplied by total number of pixels in image, say n, p(rk)=nk * n(d) If each value of histogram is divided by total number of pixels in image, say n, p(rk)=nk / nI had been asked this question during an online interview.This is a very interesting question from Histogram Equalization and Processing topic in division Image Enhancement of Digital Image Processing
Answer» The correct CHOICE is (d) If each value of histogram is divided by total number of pixels in IMAGE, say n, P(rk)=nk / n The best explanation: To normalize a histogram each of its value is divided by total number of pixels in image, say n. p(rk) = nk / n.

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