Applied Computer Vision through Artificial Intelligence

19A Comprehensive Analysis of Deep Learning and Machine Learning for Semantic Segmentation, and Object Detection in Machine and Robotic Vision

Pragati V. Thawani¹, Prafulla E. Ajmre¹, Suhashini Chaurasia² and Sivaram Ponnusamy³*

¹Sant Gadge Baba Amravati University, Amravati, Maharashtra, India

²Tulsiramji Gaikwad-Patil College of Engineering and Technology, Nagpur, Maharashtra, India

³School of Computer Sciences and Engineering, Sandip University, Nashik, Maharashtra, India

Abstract

The interdisciplinary field of machine vision has made great strides and substantial contributions in its goal of simulating human visual perception in computers. This chapter explores the history of machine vision, starting with its early image processing algorithms and ending with how it converged with robotics, computer science, and mathematics to become a separate field of artificial intelligence. The expansion and adoption of machine learning, especially deep learning, in everyday gadgets has been fuelled by its integration. The primary goal of this research is to replicate human visual abilities, such as recognition, understanding, and interpretation, using computer vision systems. Specifically, important tasks requiring strong mathematical underpinnings are picture segmentation, object identification, and image classification. Even with these developments, there are still issues to be resolved, such as defining terms like deep learning, machine learning, and artificial intelligence. Establishing ...