纺织学报 ›› 2015, Vol. 36 ›› Issue (10): 156-160.

• 管理与信息化 • 上一篇    下一篇

基于最大稳定极值区域的织物图案检索

  

  • 收稿日期:2014-08-29 修回日期:2015-03-11 出版日期:2015-10-15 发布日期:2015-10-12

Fabric pattern retrieval based on maximally stable extremal regions

  • Received:2014-08-29 Revised:2015-03-11 Online:2015-10-15 Published:2015-10-12

摘要:

针对织物扫描图像的特点,提出了一种通过图像最大稳定极值区域的SURF特征来检索织物图案的方法。首先通过结构提取算法去除织物扫描图像的纹理,保留图案信息;其次通过最大稳定极值区域法检测织物图像,提取图案各区域的SURF特征,建立织物图像特征库;最后将织物检索图像与特征库内的图像进行相似性度量,得到相似图案的织物图像。实验结果表明,提出的算法能够较准确地检索织物图案。

Abstract:

According to the characteristics of the fabric scanning images, a fabric pattern retrieval method based on the SURF features of maximum stable extremal regions was proposed to retrieve fabric images with similar patterns. Firstly, structure extraction algorithm was used to remove the texture in the fabric scanning image, and preserve the fabric pattern information; secondly, maximally stable extremal regions algorithm was used to extract the SURF features of all extremal regions in the fabric patterns, and the feature database of fabric images was established; finally, similarity measure between the fabric images to retrieve and the images in database was computed to get the fabric images with similar patterns. The experimental results showed that the proposed algorithm can retrieve fabric patterns accurately.

中图分类号: 

  • TN919
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