吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 440-444.

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Image retrieval technology based on SIFT feature and color fusion

DONG Ao-shuang, SONG Hong-liang   

  1. College of Software, Northeastern University, Shenyang 110004, China
  • Received:2012-11-23 Published:2013-06-01

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Abstract:

Based on the problem of color histogram,an improved color histogram extraction algorithm that based on the block and main color was proposed and an improved SIFT features extracted algorithm that based on the harris corner was proposed based on the problem of SIFT feature.Finally,a image retrieval algorithm that fused the improved color histogram extraction algorithm and improved SIFT feature extracted algorithm was proposed.The experiment shows that the algorithm is better on function and performance than any other algorithms,and it has good robustness.

Key words: content-based image retrieval (CBIR), color histogram, scale-invariant feature transform (SIFT) feature, image retrieval

CLC Number: 

  • TP317.4

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