Article
Version 3
This version is not peer-reviewed
Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification
Version 3
: Received: 5 February 2019 / Approved: 11 February 2019 / Online: 11 February 2019 (10:42:57 CET)
How to cite: Arif, R.B..; Khan, M.M.R..; Siddique, M.A.B. Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification. Preprints 2019, 2019020089 (doi: 10.20944/preprints201902.0089.v3). Arif, R.B..; Khan, M.M.R..; Siddique, M.A.B. Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification. Preprints 2019, 2019020089 (doi: 10.20944/preprints201902.0089.v3).
Abstract
This paper has two major parts. In the first part histogram equalization for the image enhancement was implemented without using the built-in function in MATLAB. Here, at first, a color image of a rat was chosen and the image was transformed into a grayscale image. After this conversion, histogram equalization was implemented on the grayscale image. Later on, in the same image for each RGB channel, histogram equalization was implemented to observe the effect of histogram equalization on each channel. In the end, the histogram equalization was implemented to this specific color image of a rat. In the second part, for the grayscale image in part 1, the desired histogram of another colored image of a rat was introduced and histogram specification was implemented on the original colored image.
Subject Areas
Digital image processing, color image, grayscale image, histogram equalization, histogram specification, image enhancement, RGB channel
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Readers' Comments and Ratings (0)
Send a private comment to the author(s)