The PCNN adaptive segmentation algorithm based on visual perception

Yanming Zhao

doi:10.1117/12.2020133

4 March 2013 The PCNN adaptive segmentation algorithm based on visual perception

Yanming Zhao

Proceedings Volume 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering; 87611A (2013) https://doi.org/10.1117/12.2020133
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China

Abstract

To solve network adaptive parameter determination problem of the pulse coupled neural network (PCNN), and improve the image segmentation results in image segmentation. The PCNN adaptive segmentation algorithm based on visual perception of information is proposed. Based on the image information of visual perception and Gabor mathematical model of Optic nerve cells receptive field, the algorithm determines adaptively the receptive field of each pixel of the image. And determines adaptively the network parameters W, M, and β of PCNN by the Gabor mathematical model, which can overcome the problem of traditional PCNN parameter determination in the field of image segmentation. Experimental results show that the proposed algorithm can improve the region connectivity and edge regularity of segmentation image. And also show the PCNN of visual perception information for segmentation image of advantage.

Citation Download Citation

Yanming Zhao "The PCNN adaptive segmentation algorithm based on visual perception", Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 87611A (4 March 2013); https://doi.org/10.1117/12.2020133

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