Image Segmentation using Learning Vector Quantization of Artificial Neural Network
Hemangi Pujara, Kantipudi MVV · INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE · 2013
Abstract—This paper presents color image segmentation application for road-sign detection and recognition system based on Learning vector Quantization (LVQ). In traffic-sign maintenance and in a visual driver assistance system, road-sign detection and recognition are two of the most important functions. Our system is able to detect and recognize the signs. Road signs provide drivers important information and help them to drive more safely and more easily by guiding and warning them and thus regulating their actions. The RGB images are converted into HSV color space, and segmented using LVQ depending on the hue values of each pixel in the HSV color space. LVQ neural network is used to detect the color from the images and recognize them with high accuracy and speed.