Information-Based Color Feature Representation for Image Classification

1 For the image classification task, the color histogram is widely used as an important color feature indicating the content of the image. However, the high-resolution color histograms are usually of high dimension and contain much redundant information which does not relate to the image content, while the low-resolution histograms cannot provide adequate discriminative information for image classification. In this paper, a new color feature representation is proposed which not only takes the correlation among neighbouring components of the conventional color histogram into account but removes the redundant information as well. A high-resolution, uniform quantized color histogram is first obtained from the image. Then the redundant bins are removed and some neighbouring bins are combined together to generate a new feature component to maximize the discriminative ability. The mutual information is adopted to evaluate the discriminative power of a specific feature set and an iterative al...

• Type: Conference
• Year: 2007
• Where: ICIP
• Authors: Shi-Lin Wang, Alan Wee-Chung Liew
• Keywords: Color Histogram, ICIP 2007, Image, Image Classification, Image Processing