计算机科学 ›› 2014, Vol. 41 ›› Issue (11): 317-320.doi: 10.11896/j.issn.1002-137X.2014.11.063
• 图形图像与模式识别 • 上一篇
马彦,杨海军,何江萍
MA Yan,YANG Hai-jun and HE Jiang-ping
摘要： 提出了一种利用相位一致性(Phase Congruency,PC)实现纹理分类的方法。首先计算图像的PC值,然后将连续的PC值离散化,接着统计离散化PC值的直方图,最后将该直方图作为特征来实现对纹理图像的分类。PC值的直方图反映的是一种全局特征,因此可以将该方法与局部二元模式方法(Local Binary Pattern,LBP)相结合来提高纹理分类性能。在Outex、Brodatz以及CUReT纹理数据库上的实验表明,提出的方法与LBP结合后可以得到更好的纹理分类结果。PC值对噪声具有良好的抗干扰能力,实验表明,提出的方法在噪声情形下对纹理分类也具有较高的鲁棒性。
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