计算机科学 ›› 2016, Vol. 43 ›› Issue (6): 72-76.doi: 10.11896/j.issn.1002-137X.2016.06.015
邹承明,薛栋,郭双双,赵广辉
ZOU Cheng-ming, XUE Dong, GUO Shuang-shuang and ZHAO Guang-hui
摘要: 图像相似度算法在图像识别、图像搜素引擎等研究领域具有重要意义。针对传统的灰度颜色直方图算法无法准确地描述各种颜色在图像中的分布情况的问题,提出了一种改进的图像相似度算法。它融合图像的纹理特征,利用灰度共生矩阵来提取图像像素在图像各个位置的特征信息。实验表明,这种融合图像纹理特征的方法不仅保留了灰度颜色直方图算法执行效率高的特点,而且弥补了颜色直方图算法的不足,进而提高了算法的准确性。在实际的应用场景中,可以通过调整两种算法的权值,来进一步提高算法的准确性。
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