Color image (dis)similarity assessment and grouping based on dominant colors
Jan Karásek, Radim Bürget, Václav Uher, Jan Mašek, Malay Kishore Dutta · 2015
The computer vision connected to image understanding becomes more and more important in everyday life. This paper concerns the image (dis)similarity assessment and grouping. The main contribution of this paper is the method for image (dis)similarity assessment based on dominant colors. The experimental results showed better results than the Direct Pixel Similarity and Color Histograms and method proved to be capable of detecting images similar to the target image.