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OverviewFull Product DetailsAuthor: Rik DasPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.362kg ISBN: 9780367639280ISBN 10: 0367639289 Pages: 180 Publication Date: 07 October 2024 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction to Content Based Image Classification. 2. A Review of Hand-crafted Feature Extraction Techniques for Content Based Image Classification. 3. Content Based Feature Extraction: Color Averaging. 4. Content Based Feature Extraction: Image Binarization. 5. Content Based Feature Extraction: Image Transforms. 6. Content Based Feature Extraction: Morphological Operators. 7. Content Based Feature Extraction: Texture Components. 8. Fusion Based Classification: A Comparison of Early Fusion and Late Fusion Architecture for Content Based Features. 9. Future Directions: A Journey from Handcrafted Techniques to Representation Learning. 10. WEKA: Beginners' TutorialReviewsAuthor InformationRik Das is a PhD (Tech.) and M.Tech. in Information Technology from the University of Calcutta, India. He is also a B.E. in Information Technology from the University of Burdwan, India. Rik has filed and published two Indian patents consecutively during the year 2018 and 2019 and has over 40 International publications till date. He has collaborated with professionals from leading multinational software companies and with Professors and researchers of Universities in India and abroad for research work in the domain of content based image classification. Rik has over 16 years of experience in research and academia and is currently an Assistant Professor for the Program of Information Technology at Xavier Institute of Social Service (XISS), Ranchi, India. Rik is appointed as a Distinguished Speaker of the Association of Computing Machinery (ACM), New York, USA. He is featured in uLektz Wall of Fame as one of the ""Top 50 Tech Savvy Academicians in Higher Education across India"" for the year 2019. He is also a Member of International Advisory Committee of AI-Forum, UK. Rik has founded a YouTube channel named 'Curious Neuron' to disseminate knowledge and information to larger communities in the domain of machine learning, research and development and open source programming languages. Tab Content 6Author Website:Countries AvailableAll regions |