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