Semantical Retrieval of Natural Photographic and Medical Images

ISBN-13: 9783838368092 / Angielski / Miękka / 2010 / 228 str.

Mahmudur Rahman

Opis

The growth of image content production and distribution over the world has exploded in recent years. This creates a compelling need for developing innovative tools for managing and retrieving images for many applications, such as web image search engines, medical decision support systems, etc. Until now, content-based image retrieval (CBIR) addresses the problem of finding images by automatically extracting low-level visual features. The main limitation of CBIR is due to the large semantic gap. A successful solution to bridge the semantic gap requires the investigation of techniques from multiple fields. This book is motivated by a multi-disciplinary research effort and focuses on semantic-based image search from a domain perspective with an emphasis on natural photography and biomedical image databases. A prototype image retrieval system is developed to perform exhaustive experimental evaluations and to show the effectiveness of the proposed retrieval approaches in narrow to broad domain applications.

O autorze

Md Mahmudr Rahman received the PhD in Computer Science in March 2008 from Concordia University, Montreal, Canada. He joined the Communications Engineering Branch of the NLM at NIH as a postdoctoral fellow in Nov. 2008. His current research interests include multi-modal information retrieval and medical image annotation and retrieval.