ASSESSING THE ROLE OF MACHINE LEARNING AND COMPUTER VISION IN IMAGE PROCESSING
Author(s):
Kummaragunta Joel Prabhod
Keywords:
Machine Learning, Computer Vision, Image Processing, Computer Applications
Abstract
Computer applications have evolved dramatically in recent years, from basic data processing to the internet. Machine learning is a concept that illustrates and spreads the notion that computers can learn and communicate through the internet. Machine learning is a concept that shows and propagates the notion that computers have the capacity to develop through time. The subject of machine experimentation and real-world application has piqued the attention of western nations. Because vision is arguably the most essential sense in humans, images have always played a significant part in their lives. As a result, image processing has a wide range of applications (medical, military, etc.). Pictures are everywhere nowadays, more than ever, and due to advancements in digital technology, it is extremely simple for anybody to create a large number of images. Traditional image processing methods must deal with increasingly complicated issues as a result of the abundance of pictures, as well as their adaptation to human eye. Computer vision has been explored from a variety of angles. It progresses from simple data logging to methods and concepts that combine digital image processing, pattern recognition, machine learning, and computer graphics. Many academics have been drawn to integrate with a variety of subjects and areas as a result of the widespread use. The role of machine learning and computer vision in image processing is discussed in this article.
Article Details
Unique Paper ID: 152346

Publication Volume & Issue: Volume 8, Issue 3

Page(s): 195 - 199
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