Sorry for not give any update on this blog. Yeah, I am still busy with courses, homework and project and also exams. Let’s discuss about Image Stitching. This is very common Computer Vision Project, which is my CV homework too. But, it is okay to keep discuss about it because the popularity has risen recently. Especially after it is implemented in most smartphones.
What is Image Stitching?
Image Stitching is the process of combining multiple images with overlapping views to produce a wide-angle panorama. Although this combines many images into one, it combines two images at a time. For gives the clear definition I would like to give an example.
Suppose we are given 3 images
those 3 images are look same, just a bit different. Yes, it indeed captures the same object. I am going to jump to the result. The result, roughly like the following
Hi guys, after some time busy with my campus activities today I would like to update my blog. At the very recent article we have discussed about image histogram. One of the advantages is to create negative image. In this article I am going to discuss about the other advantages of image histogram. It has very popular in the image processing field. It is called Histogram Equalization.
What Histogram Equalization really is? Histogram equalization is a method that increases the contras of an image by increasing the dynamic range of intensity. This method works best for images that have less noise and do not contain regions of relative brightness or darkness. There are some term we have to know before understanding the algorithm. To ignite our motivation let’s take a look on that images below.
Histogram Equalization Car