Abstract
Abstract: As technology is growing drastically day by day, undoubtedly there is a rapid increase in demand for image processing in every field. Each day billions of images are clicked. Collecting and analyzing those images may give us amazing results in our real-time applications. There are many different applications of image processing in the areas of space, medical, traffic, and banking, such as planet discovery, brain tumor detection, fraud detection, and object detection, etc. The objective of this research is to compare images of different formats, different resolutions, and different sizes and analyze the differences between them. We have used open-source Python libraries, OpenCV, and Pillow which are helpful in the computer vision area. Our analysis found that working with the pillow library is more accurate than working with the OpenCV library.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
