Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.
To read the given Sergei Prokudin Gorsky image file,perform simple mathematical computations on images and reconstruct using image pyramids and perform image adjustments such as improving contrast,brightness etc. and produce a clear image output
Histogram equalization is the method where all gray levels contains ideally equally number of pixels. Histogram equalization increases the dynamic range of the histogram of an image. OpenCV library for Python is used to equalize the input image. Histogram equalization is also done for the required region of interest (ROI).