Title :
Informational classifier of images
Author_Institution :
Novosibirsk State Tech. Univ., Russia
Abstract :
An informational algorithm of image recognition is proposed for complicated disturbance situations.
Keywords :
Gaussian noise; entropy; error statistics; image classification; Shannon criterion; additive disturbance; class of hypothesis; continual Gaussian variables; disturbance situations; image classifier; informational correlation coefficient; mutual information; pattern images; probability of error; Brightness; Colored noise; Gaussian noise; Image analysis; Image recognition; Information analysis; Mutual information; Pattern recognition; Pixel; Stochastic processes;
Conference_Titel :
Science and Technology, 2002. KORUS-2002. Proceedings. The 6th Russian-Korean International Symposium on
Print_ISBN :
0-7803-7427-4
DOI :
10.1109/KORUS.2002.1028042
