A PCNN Based Approach to Image Segmentation Using Size-Adaptive Texture Features

Pulse Coupled Neural Network (PCNN) and its modified forms are widely applied to image segmentation. However, most PCNN based methods are difficult in segmentation of the regions that contain rich texture information in a complex image. This paper proposes an improved approach to image segmentation based on simplified region growing PCNN with adaptive texture features input. It shows promising results to process regions with complex texture.