CBIR From Fruit Image Database and Recognition - CBIR from Fruit Image Database and Recognition

A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR).. This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - - The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. - Various feature extraction methods, similarity measure, image segmentation. - The method of retrieval of fruit images based on color . - Retrieval of fruit images using texture and color features. - Segmentation of multifruit images using L a b space. - Recognition of fruit images using shape descriptor and color features.

About the author

Dr. Rajivkumar Mente is working as Assistant Professor in School of Computational Sciences, Solapur University, Solapur, India having 23 years teaching experience. His areas of interest are Digital Image Processing, Data Structure, DBMS etc.Prof. B. V. Dhandra was the Chairman of Department of Computer Science, Gulbarga University, Gulbarga, India

Product details

• Authors: B V Dhandra, B. V. Dhandra, Rajivkuma Mente, Rajivkumar Mente
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 21.06.2017
• EAN: 9783330331082
• ISBN: 978-3-33-033108-2
• No. of pages: 96
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > Miscellaneous