The Chinese-chess image identification techniques on spatial domain

Wen-Yuan Chen, Sheng-yuan Heish, Chiu-Yu Yen, Dang-Yi Kuo
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引用次数: 4

Abstract

In this paper, we develop a feature measure method of the chess object from a chess image and identify the chess by using the features. Features are generated by calculating the distance between the contour of the character and the center of the chess object. We compare the features of input chess image with the standard database chess image to obtain a corrected chess identification results. There are two advantages compare with other methods: 1) Our method is robust from the 40 incline degree test. 2) Our method can resist the 20% pepper and salt noise attacks. In order to demonstrate the effectiveness of the proposed scheme, simulations under all kinds of various conditions were conducted. The experimental results show that our proposed scheme can exactly identify chess images 100% of the time.
基于空间域的象棋图像识别技术
本文从国际象棋图像出发,提出了一种国际象棋对象的特征度量方法,并利用特征对国际象棋进行识别。特征是通过计算人物轮廓和象棋对象中心之间的距离来生成的。我们将输入的棋类图像与标准数据库的棋类图像进行特征比较,得到校正后的棋类识别结果。与其他方法相比,该方法具有以下优点:1)在40度倾斜试验中具有较强的鲁棒性。2)我们的方法可以抵抗20%的胡椒和盐噪声攻击。为了验证该方案的有效性,在各种条件下进行了仿真。实验结果表明,我们提出的方法可以100%准确地识别象棋图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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