PCNN-based medical image edge extraction
一种基于PCNN的医学图像边缘提取方法*

Edge extraction is foundation work of image processing, how accurate, efficient extraction edge image processing area is related to discuss the issues, scholars resulting from various edge detection method to emerge in endlessly and got very good application. But these methods are unable to reach human recognition on the edge of the object precision degree. Current pulse coupled neural network is relatively close image processing fields of biological visual image processing is a powerful tool. This improvement of basic PCNN model, put forward a new simulation biological visual image edge extraction method, the method of improving the effective used of the characteristics of the PCNN. It applied the improved method applied to the medical image edge extraction, and edge detection algorithm with several classic PCNN and basic methods. Through experiment results prove the edge extraction method is more complete, clear and salt &pepper noise with strong inhibitory ability.