<title>Histogram-based image classification using fuzzy ARTMAP neural network</title>

Abstract

This paper presents a novel fast images classification method which based on image histogram features and using fuzzy ARTMAP neural network. Compared with the previous method, the edge, brightness, contrast and SNR feature of images are taken into account in this method, and it has so many advantages such as self-adaptive clustering, fast convergence, good real-time ability, high classification accuracy and high universality etc. It can be adopted in SMGS (scene matching guidance system) to auto-select real- time images and so as to improve the level of intelligence, reliability and real time ability of SMGS.