Title :
Color cluster rotation
Author :
Paulus, D. ; Csink, L. ; Niemann, H.
Author_Institution :
Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
Abstract :
The distribution of color values in color images depends on the illumination which varies widely under real-world conditions. We present a new approach for color normalization which adjusts the statistical properties of the distribution to predefined values. We introduce two algorithms based on geometric manipulations of the color cluster. Our new color rotation algorithm is tested on some natural and synthetic images
Keywords :
computer vision; image colour analysis; image recognition; statistical analysis; cluster analysis; color cluster rotation; color constancy algorithms; color images; color normalization; color rotation algorithm; color values distribution; computer vision; geometric manipulations; illumination; natural images; statistical properties; synthetic images; Artificial neural networks; Clustering algorithms; Color; Computer vision; Histograms; Indexing; Layout; Lighting; Roentgenium; Testing;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723449
