A Novel Image Retrieval Algorithm Based on Color and Distribution Entropy of Prominent Interest Points
Zeng Zhi · Infrared Technology · 2007
A A novel image retrieval algorithm based on prominent interest points is presented.The algorithm consists of three steps: prominent interest points detection,feature description based on prominent interest points and similarity measurement,image is filtered by a self-adaptive filter,then prominent interest points are extracted;prominent interest points are regarded as clues,and color distribution entropy is designed,which takes not only the local color feature into consideration,but also the space distribution information of prominent interest points;the similarities are measured by the distance of color distribution entropy.With robustness to rotated and translated image,the algorithm avoids shortcoming of losing the location information in color histogram.The results show that this algorithm is efficient in image retrieval.