DocumentCode :
3424452
Title :
An algorithm for image edge detection using improved PCNN
Author :
Di, Lan ; Lin, Yi ; Liu, Li
Author_Institution :
Sch. of Inf. Technol., Jiangnan Univ., Wuxi, China
fYear :
2009
fDate :
17-19 Aug. 2009
Firstpage :
136
Lastpage :
139
Abstract :
A calculated method is proposed which uses the region areas to modulate the pulse of the corresponding neurons in PCNN. The edge detection for the blurred Image with noise can reduce the noise and obtain a precise edge value of the image. First, based on the analysis of the difference between the edge pixels and the noise pixels, it proposes a method, which suppresses the noise by the region areas. Second, it suggests that image segmentation uses the pulse of the corresponding neurons in PCNN. The experimental results show that this method is effective and feasible.
Keywords :
edge detection; image denoising; image segmentation; edge pixels; image denoising; image edge detection; image segmentation; improved PCNN; noise pixels; noise suppression; Image edge detection; Image segmentation; Joining processes; Neural networks; Neurons; Noise reduction; Object recognition; Pulse generation; Pulse modulation; Shape measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
Type :
conf
DOI :
10.1109/GRC.2009.5255147
Filename :
5255147
Link To Document :
بازگشت