Model Based Color Image Segmentation Techniques.

      Аннотация: This book is evolved as a result of the research work done by the second author under the guidance of first author for his Ph.D degree in computer science. The need for design and development of highly sophisticated equipment for utilizing the modern technological advancements have motivated to do research in Image segmentation and image analysis. The aim of this book is to provide an insight for utilizing probability models for efficient image processing and analysis. This book serve as a text book/monograph for students working in Computer science/Computer engineering/ Information Technology/ Statistics/Mathematics/ Electronics and Communication Engineering. This book is almost designed such a way that it is useful for young researchers and expert researchers to utilize advanced level statistical techniques in Image Processing and analysis. This book reflects the authors experience in teaching and research in Digital image processing, Computer Vision, Pattern recognition, Data mining at their respective institutions.

Ключевые слова: image processing, segmentation, image retrieval, Trunacated Bivariate Gaussian Mixture Model