Title :
A Graph-Based Method for Image Segmentation in Cross-Region
Author :
Zhang, Nan ; Wang, Jinhe
Author_Institution :
Sch. of Comput. Eng., Qingdao Technol. Univ., Qingdao
Abstract :
Cross-region in scanned image is a complex one in line recognizing process. Using graph-based model, the geometric properties such as cross-attribute can be extracted from image. Then they can be divided into several categories. Based on the topological and adjacent properties of the graph, the principle of image segmentation in cross-region is proposed. The proposed method has advantages over individual pixels due to its intrinsic behaviour, retrieval of colony characteristic of related pixels, shape independence, and ease of implementation.
Keywords :
graph theory; image recognition; image segmentation; geometric properties; graph-based method; image segmentation; line recognizing process; scanned image cross-region; shape independence; Computer science; Image analysis; Image processing; Image recognition; Image segmentation; Pattern recognition; Pixel; Shape; Software engineering; Solid modeling; Cross-region; Image segmentation; Pattern recognition;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.656