摘要
提出了一种中国象棋棋盘角点检测的算法.首先采用LSD算法检测出棋盘灰度图像中的大部分直线,然后通过使用基于灰度值区域的投影直方图和基于LSD算法的直线交点检测两种方法,精确地检测出象棋棋盘的角点.最后通过实验,验证了算法的有效性和实时性,对于棋盘的亮度变化、棋盘畸变和边缘模糊具有良好的适应性.
In this paper, an algorithm of comer detection of Chinese chess chessboard is proposed. Firstly,LSD algorithm is applied to detecting most of the straight line on gray image of chessboard. Then the corners of chessboard are accurately detected by using the projection histogram based on gray value area and straight line intersection point detection method based on LSD algorithm. Finially, the experiments are given to verify the effectiveness of the algorithm and the real-time performance. The experiement results show that the algorithm has good adaptablility to change the brightness of the board, board distortion and edge blur.
出处
《中南民族大学学报（自然科学版）》
CAS
2013年第4期102-106,共5页
Journal of South-Central University for Nationalities：Natural Science Edition
基金
湖北省自然科学基金资助项目(2012FFB07403)
中央高校基本科研业务费专项资金资助项目(CZY13017
YZZ13003)
国家自然科学基金资助项目(6097511/F030403)
关键词
角点检测
LSD算法
投影直方图
直线交点检测
comer detection
LSD algorithm
projection histogram
straight line intersection point detection
