Object classification using mixed color feature
Yuan Gao, Yuhui Zhang · 2002
This paper proposes a color feature called mixed color feature (MCF) to describe the image contents in terms of human visual perception. Construction and distance measurement of MCF is interpreted in detail. A nonlinear quantizer is proposed to improve the efficiency of MCF. To evaluate the effect and accuracy of MCF in practice, a practical implementation of MCF in object classification is carried out. First, the major histogram (MH) is extracted from MCF as the basic feature in the classification processing; second, weighted nearest matching (WNM) is presented and applied to accomplish the classification. A comparison experiment is carried out and the results show the advantage and efficiency of the proposed method.