Title :
Color image (dis)similarity assessment and grouping based on dominant colors
Author :
Jan Karasek;Radim Burget;Vaclav Uher;Jan Masek;Malay Kishore Dutta
Author_Institution :
Brno University of Technology, Department of Telecommunications, Technicka 12, 612 00 Brno, Czech Republic
fDate :
7/1/2015 12:00:00 AM
Abstract :
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.
Keywords :
"Image color analysis","Cities and towns","Histograms","Distance measurement","Feature extraction","Telecommunications","Information retrieval"
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2015 38th International Conference on
DOI :
10.1109/TSP.2015.7296366