Edge Detection Based on Image Features and LVQ1 Neural Network

摘要

The paper for the first time brings forward a new method of edge detection based on LVQ1 (Learning Vector Quantization) neural network and the matchable feature vector with better anti-noise. Traditional edge detection arithmetic operators produce a lot of false edge while detecting the image stained by noise, so we bring forward a feature vector with better anti-noise that is the import of the LVQ1 neural network. The LVQ1 network is a kind of mixed neural network that adopts both the competitive learning without supervision and the learning with supervision.