Title :
Image segmentation algorithm based on granular lattice matrix space
Author :
Xie, Keming ; Xiaoli Hao ; Jun Xie
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
For granular computing has advantage to handle a great deal of fuzzy information, it provides new thoughts for image segmentation. Firstly, the paper defines a new granular computing model, which is granular lattice matrix model. Secondly, we applied the model to image segmentation and proposed a new algorithm of segmentation. Finally, we certify the new algorithm is better than traditional algorithm on edge fining by tests.
Keywords :
fuzzy set theory; image segmentation; edge fining; fuzzy information; granular computing; granular lattice matrix space; image segmentation algorithm; Clustering algorithms; Educational institutions; Image processing; Image segmentation; Lattices; Matrix converters; Pixel; Software algorithms; Space technology; Testing;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255049