DocumentCode
1934459
Title
Two-dimensional thresholding by new evolution mechanism
Author
Cao, Li ; Guo, Qichao ; Bao, Paul
Author_Institution
Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut.
Volume
2
fYear
2006
fDate
16-20 2006
Abstract
Computational cost is the main drawback for two-dimensional (2-D) thresholding methods. GAs can accelerate the calculation, but still fail to satisfy most of applications. By introducing an implantation, which replaces the selection of GAs, an evolution mechanism was proposed. An excellent schema is implanted in the low performance strings to improve both the performance and diversity of population. Thus, the search efficiency will be improved in each iteration cycle, resulting in the acceleration of the threshold selecting. Experimental results showed that the proposed method could reduce the computation cost in 2-D Renyi´s entropy thresholding
Keywords
image segmentation; entropy thresholding; threshold selecting; two-dimensional thresholding; Acceleration; Computational efficiency; Digital images; Educational institutions; Entropy; Genetic algorithms; Histograms; Image analysis; Image segmentation; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345552
Filename
4129033
Link To Document