Content-based Color Image Retrieval Using Multi-semantics
基于多语义特征的彩色图像检索技术研究

The performance of content-based image retrieval (CBIR) systems is largely limited by the gap between the low-level feature and high-level semantic concept.A new content-based color image retrieval method using multi-semantics was proposed,which not only takes into consideration the important image edge information and human visual system,but also utilizes the support vector regression (SVR) theory.Firstly,the important image edge was extracted by using canny detection operator and the low-level texture fea...