关键词: 彩色图像分割, 不变矩, AdaBoost学习算法, 分类器

Abstract: This paper proposed a new algorithm of recognizing military target from image captured by outdoor firing training system with very complex background. Firstly the color feature of target was utilized to do a coarse segmentation. The steps include converting from RGB color space to HIS color space, thresholding in S channel, combining I channel information, thresholding in combined image and postprocessing using mathematical morphology. Then a classifier based on AdaBoost learning algorithm was designed to separate target region from others and get the final recognition result.

Key words: color image segmentation, moment invariants, AdaBoost learning algorithm, classifier