NDLI: The binary image retrieval based on the improved shape context

Content Provider	IEEE Xplore Digital Library
Author	Yan He Lei Yang Yichun Zhang Xiaoyu Wu Yun Zhang
Copyright Year	2014
Description	Author affiliation: Art Res. Inst. of China, Beijing, China (Yichun Zhang) \|\| Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China (Yan He; Lei Yang; Xiaoyu Wu; Yun Zhang)
Abstract	Considering the requirement for a more objective result of image retrieval, the features of image itself attract more and more attentions of researchers. Recently, the shape context of images is widely applied in image matching for its good invariance of translation and scale, as well as its good robust for shape context are introduced in this paper to conduct the retrieval of binary images. However, due to the lack of rotation invariance, a kind of improved feature of shape context is proposed, which ensures the rotation invariance by means of looking for the direction where the most sampling points are included. Through experiment we can find that in the case of the same recall rate, the precision rate of the algorithm in this paper is obviously better than the traditional algorithm of shape context. Furthermore, the calculating time of the proposed algorithm is reduced compared with the way in which rotation invariance is introduced in the images that are rotated many times. Therefore, the overall performance is improved, obtaining more satisfying result of retrieval.
Starting Page	452
Ending Page	456
File Size	397874
Page Count	5
File Format	PDF
ISBN	9781479958351
DOI	10.1109/CISP.2014.7003823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Histograms Shape Image color analysis Image retrieval image retrieval rotation invariance (key words) Libraries shape context
Content Type	Text
Resource Type	Article

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