Journal on Communications ›› 2015, Vol. 36 ›› Issue (4): 179-184.doi: 10.11959/j.issn.1000-436x.2015089

• Academic communication • Previous Articles     Next Articles

Improved method for local image feature region description

Ren-huan ZHU,Qing-wei GAO(),Yi-xiang LU,Dong SUN   

  1. College of Electrical Engineering and Automation,Anhui University,Hefei 230601,China
  • Online:2015-04-25 Published:2015-04-15
  • Supported by:
    The National Natural Science Foundation of China

Abstract:

A robust method for local image feature region description was proposed based on the problem of contradiction between performance and dimension of descriptor.First,the local feature region was divided into several subregions according to their intensity order.Then,the method of segmented local feature description based on threshold was used to compute the descriptor,and the method of the weighted texture spectrum was used to cumulate the local descriptor.At last,concatenate the descriptors of every subregion together to get the final descriptor of the interest region.This method combined overall information and local information together,and robust to noise when ensure the dimension of descriptor was small.The experimental results show that the proposed descriptor is not only invariant to monotonic intensity changes and image rotation but also robust to many other geometric and photometric transformations.

Key words: local feature, feature detection, feature description, rotation invariant

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