Biologically inspired image processing algorithms like pulse-coupled neural network find many applications in image preprocessing such as segmentation and edge extraction. The two highly parallel methods of edge extraction from gray-scale images using pulse-coupled neural network are presented. The approach of both methods is based on phenomenon of autowaves, whose properties enable efficient parallel image processing.