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.

Autorentext

Dr. Rajivkumar Mente arbeitet als Assistenzprofessor in der School of Computational Sciences, Solapur University, Solapur, Indien und hat 23 Jahre Lehrerfahrung. Seine Interessengebiete sind digitale Bildverarbeitung, Datenstruktur, DBMS usw. Prof. B. V. Dhandra war Vorsitzender des Fachbereichs Informatik, Universität Gulbarga, Gulbarga, Indien.