"This book addresses problems related to applying graph-based methods in computer vision, including accounts of the latest developments in graph-based methodology and its application to a variety of problems in computer vision such as image segmentation,image matching and classification where graph-based methods play a vital role"--Provided by publisher.
Addressing problems related to applying graph-based methods in computer vision, computer, information, and other scientists present accounts of recent developments in graph-based methodology and its application to image matching, image segmentation, image and video analysis, and image processing. The topics include geometric-edge random graph model for image representation, unsupervised and supervised image segmentation using graph partitioning, generative group activity analysis with quaternion descriptor, discriminating feature selection in image classification and retrieval, and region-based graph learning towards large scale image annotation. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)
