Object location using complementary color features: histogram and DCT
Vivin Vinod, Hiroshi Murase · 1996
Color constitutes an important cue for recognizing and locating objects in complex scenes. Most of the existing techniques using colors employ only color histograms for object recognition and/or location. Color histograms are stable but not accurate. In this paper we study the complementary nature of color histogram and DCT coefficients with respect to accuracy and stability and develop a combined method using both histograms and discrete cosine transform (DCT) coefficients. The methods are experimentally evaluated. The combined method has higher stability and accuracy than using either feature alone.