Image Retrieval Method by Information Entropy and Improved SIFT Algorithm
Liu Xue-tin · Journal of Henan University of Science & Technology · 2014
In view of low precision rate and recall rate problems on image retrieval based on single global color feature or local feature,an image retrieval method based on information entropy and improved scale-invariant feature transform(SIFT) algorithm was proposed. First,local feature of images was extracted by an improved SIFT algorithm. Then,color feature and information entropy were calculated. Finally,the weights of color feature and SIFT feature based on information entropy were utilized to calculate the similarity among images for image retrieval. The experimental results show that this method has better retrieval performance than the color histogram and SIFT algorithm.