Title :
Statistical approach to image classification
Author :
Kahou, Samira Ebrahimi ; Sulema, Yevgeniya
Author_Institution :
Nat. Tech. Univ. of Ukraine "Kyiv Polytech. Inst.", Kiev, Ukraine
Abstract :
The central focus of this paper concerns tasks of image processing. In particular it deals with the problem of image classification based on both first-order and second-order statistics. Statistical data obtained in the MATLAB environment are shown in the diagrams and discussed. The principles of image classification are formulated in this paper. The results obtained in the research can be used in machine vision tasks as well.
Keywords :
computer vision; higher order statistics; image classification; MATLAB environment; first-order statistics; image classification; image processing; machine vision; second-order statistics; statistical approach; Bismuth; Brightness; Entropy; Focusing; Image classification; Image coding; Machine vision; Pixel; Probability; Statistics;
Conference_Titel :
Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-6724-2
DOI :
10.1109/AQTR.2010.5520769
