Detection of Mouse Embryo Atlas (MA) boundaries using a neural network
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 non-uniformity. This paper describes 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 exaction 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 non-edge points.Our preliminary results are promising and show that edges of histological images have been detected.
Detection Segmentation Neural network Feature exaction
Yulei Fan Elizabeth Guest Nick Bowring
School of Computing Leeds Metropolitan University, Leeds, UK
国际会议
成都
英文
829-833
2003-08-27（万方平台首次上网日期，不代表论文的发表时间）