Machine Learning Methods for Image Understanding: From Basics to Advanced Techniques

Abstract

In today’s web world, images are all around World Wide Web every second more and more uses image data – from social networking sites to medical reports, from CCTV cameras to satellite images. It is a huge task to make computers understand and analyze these images. Machine learning, particularly deep learning, has provided us with effective solutions to this problem. This paper provides a brief and comprehensive overview of various machine learning approaches used for image analysis. We begin with the traditional approaches and progress to the most recent deep learning approaches. We describe how these approaches work, their pros and cons, and how they are applied in practical situations. This paper will help students, researchers, and professionals understand the evolution of image analysis approaches and select the appropriate approach according to their requirements.