Computation of image histogram, histogram equalization, comparison, and matching.
The project objectives are as follows:
3.1 Computation of Image Histogram: Reading in a raw image file and computing its histogram in C.
3.2 Equalization Image Histogram: Enhancing contrast of a raw image using image histogram equalization.
3.2 Image Histogram Comparison: Comparison of the histograms of two images. In this project the histogram intersection algorithm proposed by Swain and Ballard in their article “Colour Indexing” is used.
3.4 Image Histogram Matching: The histogram of one image is matched that of second image by the transformation of its shape to resemble that of the second image.