Title :
Fast image segmentation via double-layer infiltration
Author :
Chong, Chen-Yuan ; Chang, Fu-Chiang ; Wang, Jung-Hua
Author_Institution :
Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
In this paper, a novel method called double-layer infiltration (DLI) is presented to perform fast region-based image segmentation. The method mainly comprises two successive processes, namely updating the feature of each region followed by merging the immediate regions as their updated features satisfy a local statistic criterion. The proposed segmentation method is fast as features of all regions are updated simultaneously and accurately effective as regions are merged by considering not only the immediate adjacent layer but also the regions next to the adjacent layer. The method starts with an initial set of seed regions until a well-defined terminal condition is satisfied. DLI is self-terminated and needs not pre-specify the final number of regions. Experimental results on real images are provided to verify the effectiveness of the method.
Keywords :
image segmentation; double-layer infiltration; fast region-based image segmentation; local statistic criterion; Artificial neural networks; Computer networks; Image edge detection; Image segmentation; Merging; Neural networks; Oceans; Partitioning algorithms; Pattern recognition; Statistics; Image segmentation; neural network; region merging;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571597