Тип публикации: статья из журнала
Год издания: 2001
Идентификатор DOI: 10.1023/A:1011962818766
Аннотация: Basically new pattern recognition method is implemented to compare two (or several) digital images. The method has neither feature alphabet, nor pattern dictionary recovery stages. It compares input images due to a special object called palette built from fragments of images. The measures to estimate the distances between images arПоказать полностьюe based on a determination of the specific entropy of the frequency dictionary of all image with respect to the palettes that latter presents the statistical ancestor of the group of the images under comparison. The palette is defined as the frequency dictionary with frequencies of the fragments equal to arithmetic mean of the frequencies of the same fragments from the images to be compared. Such definition yields a minimum of the sum of specific entropies of the compared images with respect to the palette. Some preliminary results in the application of the method in pattern recognition and synergistics problems are presented. The limitations and basic properties of the method are discussed.
Журнал: OPEN SYSTEMS & INFORMATION DYNAMICS
Выпуск журнала: Vol. 8, Is. 2
Номера страниц: 183-199
ISSN журнала: 12301612
Место издания: DORDRECHT
Издатель: KLUWER ACADEMIC PUBL