Title :
Image Segmentation using Parallel Self Organizing Tree Map
Author :
Fan, Xiaoming ; Randall, Jonathan ; Lee, Ivan
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont.
Abstract :
At present, the researchers are making great effort to search for a general purpose resolution for image segmentation. Most of the approaches we are using now are somewhat inefficient and tardy. In this paper we present an innovative method, parallel self-organizing tree map (PSOTM), which is improved from SOTM. By processing image in parallel, PSOTM could segment the image in a much faster processing speed. After applying the new technology, PSOTM, we could obtain the higher efficiency with limited impacts on the visual quality
Keywords :
image resolution; image segmentation; parallel processing; self-organising feature maps; trees (mathematics); PSOTM; image resolution; image segmentation; parallel self-organizing tree map; Convergence; Costs; Hardware; Humans; Image coding; Image processing; Image recognition; Image segmentation; Organizing; Principal component analysis;
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
DOI :
10.1109/ICME.2006.262928
