Research on Color Image Classification Based on HSV Color Space

According to color image data structure to adapt to the image into the HSV model of the human visual system components, and extract the H component. The hue H of HSV color space is the most important resolution of visual features, therefore we use Contourlet transform to deal with hue H components, extract the third factor features as semantic features of image classification, then use SVM classifier to classify images. The experimental results show that this method has better classification results.