Open access peer-reviewed Edited Volume

Updates on Image Segmentation

Paulo Ambrosio

Universidade Estadual de Santa Cruz

Dr. Paulo E. Ambrósio is vice-director of the Center for Radiation Sciences and Technology (CPqCTR/UESC) and coordinates a Special Committee on Computing Applied to Health, Brazilian Computer Society. His research interests include applied computing, with an emphasis on health and biology, working mainly with pattern recognition, medical imaging, and computational modeling.

Covering

Thresholding Binarization Threshold Determination Thresholding Methods and Techniques Clustering Similarity Segmentation by Regions Clustering Methods and Techniques Artificial Neural Networks Deep Learning Artificial Intelligence AI Methods and Techniques

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About the book

Image segmentation is a primary and fundamental step in digital image processing. In short, it is the identification and separation of an image into parts (segments) of interest to solve a particular problem.

There are several approaches, methods, and techniques for image segmentation, each with its characteristics, advantages, and disadvantages regarding the type of image and the expected result. They range from traditional and basic approaches to advanced and recently developed ones, from quasi-manual techniques and methods to fully automated ones.

This book seeks to present recent work in the area of digital image processing, with a focus on the segmentation step.
The hope is that this book will include three main topics: threshold-based segmentation, clustering-based segmentation, and artificial neural networks based segmentation. But it is not limited to these topics in any specific way. This is a purely organizational division, seeking to present papers that describe the segmentation process through traditional, intermediate, and advanced approaches.

Publishing process

Book initiated and editor appointed

Date completed: April 13th 2022

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: June 21st 2022

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: August 20th 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: November 8th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: January 7th 2023

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Paulo Ambrosio

Universidade Estadual de Santa Cruz

Paulo E. Ambrósio has a Ph.D. in Medical Sciences from the Medical School of Ribeirão Preto, University of São Paulo (FMRP/USP), Brazil. He is currently an associate professor in the Department of Exact and Technological Sciences, State University of Santa Cruz (UESC); vice-director of the Center for Radiation Sciences and Technology (CPqCTR/UESC); and coordinator of the Special Committee on Computing Applied to Health, Brazilian Computer Society. His research interests include applied computing, with emphasis on health and biology, working mainly with pattern recognition, medical imaging, and computational modeling.

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