SIFT Feature Extraction Based on Color Energy Region

In content-based image feature extraction research areas, SIFT feature occupies a very important position. In 2004 it was first proposed, widely used in object recognition, video tracking, scene recognition, image retrieval and other issues, and achieved great success. But the extraction of image SIFT features needs a huge amount of computation. This paper presents the concept of color energy in where it has great information, and extract large color energy regions, extracted SIFT feature points in them. Although losing some of the feature points, this method effectively reduces the computational complexity, and reduces the computation time.