| Autor: |
Hongbin Zha, Zhigeng Pan, Thwaites, Hal, Addison, Alonzo C., Forte, Maurizio, Jiu-Lun Fan, Xue-Feng Zhang, Feng Zhao |
| Zdroj: |
Interactive Technologies & Sociotechnical Systems; 2006, p164-173, 10p |
| Abstrakt: |
Chaotic optimization is a new optimization technique. For image segmentation, conventional chaotic sequence is not very effective to three-dimension gray histogram. In order to solve this problem, a three-dimension chaotic sequence generating method is presented. Simulation results show that the generated sequence is pseudorandom and its distribution is approximately inside a sphere whose centre is (0.5 , 0.5 , 0.5). Based on this work, we use the proposed chaotic sequence to optimize three-dimension maximum between-variance image segmentation method. Experiments results show that our method has better segmentation effect and lower computation time than that of the original three-dimension maximum between-variance image segmentation method for mixed noise disturbed image. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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