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An optimized SIFT algorithm based on color space normalization
Jiang, Tuochi1,2; Wen, Desheng1; Song, Zongxi1; Gao, Wei1; Shen, Chao1; Wang, Feng1
2018
Conference Name10th International Conference on Digital Image Processing, ICDIP 2018
Source PublicationTenth International Conference on Digital Image Processing, ICDIP 2018
Volume10806
Conference Date2018-05-11
Conference PlaceShanghai, China
PublisherSPIE
Contribution Rank1
Abstract

The Scale Invariant Feature Transform (SIFT) algorithm has been widely used for its excellent stability in rotation, scale and affine transformation. The local SIFT descriptor has excellent accuracy and robustness. However, it is only based on gray scale ignoring the overall color information of the image resulting in poorly recognizing to the images with rich color details. We proposed an optimized method of SIFT algorithm in this paper which shows superior performance in feature extraction and matching. RGB color space normalization is used to eliminate the effects of illumination position and intensity invariant on the image. Then we proposed a novel similarity retrieval method, which used K nearest neighbor search strategy by constructing K-D tree (k-dimensional tree), to process the key points extracted from the normalized color space. The key points of RGB space are filtered and combined efficiently. Experimental results demonstrate that the performance of the optimized algorithm is obviously better than the original SIFT algorithm in matching. The average matching accuracy of test samples is 87.05%, an average increase of 18.21%. © 2018 SPIE.

KeywordFeature Extraction Scale Invariant Feature Transform K-d Tree Similarity Retrieval
Department空间光学应用研究室
DOI10.1117/12.2503039
Indexed ByEI ; CPCI
ISBN9781510621992
Language英语
ISSN0277786X;1996756X
WOS IDWOS:000452819600007
EI Accession Number20183605779136
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30605
Collection空间光学应用研究室
Affiliation1.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an; 710071, China;
2.University of Chinese Academy of Science, Beijing; 100049, China
Recommended Citation
GB/T 7714
Jiang, Tuochi,Wen, Desheng,Song, Zongxi,et al. An optimized SIFT algorithm based on color space normalization[C]:SPIE,2018.
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