Title :
One Segmentation Algorithm of Multi-Target Image Based on Improved PCNN
Author :
Song, Yin-Mao ; Zhu, Xiao-Hui ; Liu, Guo-Le
Author_Institution :
Coll. of Electr. & Inf. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Abstract :
Combining the gray histogram of images, using the maximal cross-entropy function as the fitness function of Adaptive Genetic Algorithm, adopting Adaptive Genetic Algorithm to search the optimal threshold function, a multi-target image segmentation algorithm is put forward based on the improved PCNN model.It can effectively complete image segmentation, and the results are superior to the Ostu multi-threshold algorithm.
Keywords :
entropy; genetic algorithms; image segmentation; neural nets; adaptive genetic algorithm; gray histogram; improved PCNN; maximal cross-entropy function; multitarget image; multithreshold algorithm; one segmentation algorithm; pulse couples neural network; Educational institutions; Genetic algorithms; Genetic engineering; Gray-scale; Histograms; Image segmentation; Neural networks; Probability distribution; Pulse generation; Pulse modulation;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473413
