A Beginner’s Guide to Image Shape Feature Extraction Techniques
A Beginner’s Guide to Image Shape Feature Extraction Techniques by Jyotismita Chaki is published by Taylor & Francis Group and was released on June 30, 2021. This 148-page book provides an overview of various image shape feature extraction methods essential for image shape recognition and classification, particularly within the context of content-based image retrieval (CBIR).
Readers will find a detailed exploration of shape feature extraction techniques and their applications across multiple interdisciplinary fields, including electrical engineering, data science, and computer science. The book illustrates practical examples and applications, making it a valuable resource for researchers and graduate students interested in image processing, artificial intelligence, and related technologies.
Official synopsis Publisher
This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields, the present book is aimed at researchers and graduate students in electrical engineering, data science, computer science, medicine, and machine learning including medical physics and information technology.
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