Detection of mouse embryo atlas (MA) boundaries using a neural network

Abstract

Many methods have been developed for image edge detection and most of these techniques work well in images with uniform regions, but less well in regions with greater nonuniformity. We describe an edge enhancing technique suitable for the complexity of histological images, such as those contained in the Mouse Embryo Atlas (MA). In order to achieve this, a new feature extraction method has been investigated which combines a probability neural network technique (PNN) with a novel edge detection algorithm. The PNN has been trained on several sets of appropriate images that classify a selection of pixels as edge or nonedge points. Our preliminary results are promising and show that edges of histological images have been detected.