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›› 2002, Vol. 28 ›› Issue (01): 147-.

• 论文 • 上一篇    下一篇

基于改进纹理粗糙度的图象检索研究

孙兴华,杨静宇,郭丽   

  1. 南京理工大学计算机系,南京理工大学计算机系,南京理工大学计算机系 南京 210094
  • 发布日期:2002-01-25

Research of Image Retrieval Based on Improved Coarseness

SUN Xinghua, YANG Jingyu, GUO Li   

  1. (Department of Computer, Nanjing University of Science & Technology, Nanjing 210094)
  • Published:2002-01-25

摘要: 对原有纹理粗糙度算法在选取邻域尺寸和计算邻域均值差值这两方面进行了改进,并给出了改进纹理粗糙度算法。实验表明,改进纹理粗糙度具有更强的纹理分辨能力和更好的旋转不变性,基于改进纹理粗糙度的图象检索结果优于基于原有纹理粗糙度的图象检索结果。

关键词: 纹理粗糙度, 线性量化, 局部梯度方向, 图象检索

Abstract: This paper improves the previous coarseness algorithm on the selection of neighborhood sizes and the calculation of neighborhood average differences, and the improved coarseness algorithm is presented. Experiments show that the improved coarseness has higher texture discriminability and better circumrotation invariance, and that the image retrieval result based on the improved coarseness is superior to that based on the previous coarseness.

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