A region-based multi-sensor image fusion scheme using pulse-coupled neural network
Pattern Recognition Letters
A region-based multi-sensor image fusion scheme using pulse-coupled neural network
Pattern Recognition Letters
Adaptive parameters determination method of pulse coupled neural network based on water valley area
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Review: Pulse coupled neural networks and its applications
Expert Systems with Applications: An International Journal
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This paper presents and develops an automated algorithm for segmenting spiculated masses of the mammogram images based on Pulse Coupled Neural Networks (PCNN) in conjunction with fuzzy set theory. Mammogram image segmentation has proven difficult task due to low contrast between normal and malignant glandular tissues and the noise in such images that makes it very difficult to segment them. Therefore, the Fuzzy Histogram Hyperbolization (FHH) algorithm is first used as a filter before segmentation process. Then PCNN is applied to segment the images to arrive at the final result. To test the effectiveness of PCNNs on high quality images, a set of mammogram images was chosen. The experimental results show that the proposed algorithm performs well compared to the fuzzy thresholds and Fuzzy C-Mean results.