|International Computer Science and Engineering Society (ICSES)|
ICSES Transactions on Image Processing and Pattern Recognition
Vol. 4, No. 3, Nov. 2018
Image Segmentation: A Guide to Image Mining | Book Proposal
Vikramsingh Parihar a,, Hamid Reza Boveiri b
Highlights and Novelties
Today, the medical industry, astronomy, physics, chemistry, forensics, remote sensing, manufacturing, and defense are just some of the many fields that rely upon images to store, display, and provide information about the world around us. The challenge to scientists, engineers and business people is to quickly extract valuable information from raw image data. This is the primary purpose of image processing - converting images to information. The main aim of image segmentation is to identify meaningful objects from a given image. For example, a boy of just four years can see/detect/locate a pen on a table, as he is naturally equipped with image segmentation power. However, robots cannot do it, until they use image segmentation algorithms. To perform an image segmentation task, several techniques have been developed. The simplest and flexible techniques are discussed in this book from basics. This book explains how to segment images using state-of-the-art methods and recent innovations incorporating Deep Learning. Also, image segmentation is usually the first step towards various image processing applications like medical imaging, object detection, machine vision, recognition, image mining, image restoration, image enhancement, etc. and thus, is a critical topic to study. In this book, each chapter introduces image segmentation topics and includes information regarding when one method may be preferred over another to obtain specific image features. Numerous step-by-step examples illustrate the processing and analysis routines, allowing you to quickly understand how to get the desired results when working with your own image data. This book is not intended to be a complete source for image processing knowledge, an advanced image processing manual or an image processing reference guide. This book is designed to teach people how to segment images effectively and does not assume that they are already experts in the field of image processing.
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.
Cite this manuscript as
Vikramsingh Parihar, Hamid Reza Boveiri, "Image Segmentation: A Guide to Image Mining," ICSES Transactions on Image Processing and Pattern Recognition (ITIPPR), vol. 4, no. 3, pp. 1-8, Nov. 2018.
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