摘要
提出了一种基于视频图像理解的中国象棋棋子识别算法.在检测视频图像无变化基础上,检测棋子变化,利用棋子的先验信息及象棋规则排除无法行棋点,再通过当前帧图像与前两步棋子图像特征识别出实际行棋的棋子.该算法避免使用二值化门限,对光照、阴影等外界环境的变化具有良好的适应性.
In this paper, an algorithm of chessman recognition of Chinese chess based on video image understanding is proposed. Chessman change detection is done on the basis of unchanged results of video images detection. Unavailable points of played chess are deleted according to prior information of chessman and Chinese chess rules, and really played chessman are recognised by features of current frame image and chessman images of last two steps. The algorithm avoids the use of binarization threshold and has good adaptability for the light, shadows and other external environmental changes.
出处
《中南民族大学学报（自然科学版）》
CAS
2014年第2期117-122,共6页
Journal of South-Central University for Nationalities：Natural Science Edition
基金
国家自然科学基金资助项目(60975011/F030403)
中央高校基本科研业务专项资金资助项目(YZZ13003
CZY13017)
关键词
棋子识别
图像理解
先验信息
特征
chessman recognition
image understanding
prior information
image feature
