Feature Modeling and Classification of Halftone Image Based on Statistical Method

Autor:	Yong Xiang Hu, Zhao Yi Peng, Zhi Qiang Wen, Wen Qiu Zhu
Rok vydání:	2012
Předmět:	Halftone business.industry Feature vector Autocorrelation Pattern recognition General Medicine Image (mathematics) Matrix (mathematics) Radial basis function neural Computer Science::Multimedia Computer vision Feature modeling Artificial intelligence business Image based Mathematics
Zdroj:	Applied Mechanics and Materials. :1693-1696
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.229-231.1693
Popis:	For problem of feature modeling on halftone image, three statistics methods, named gray-level co-occurrence matrix, autocorrelation function and spectrum statistics, are used to extract feature vector of various halftone images. Then, their classification performance is assessed by radial basis function neural network. A mass of experiments show the autocorrelation function is better than other two methods for classification on halftone image.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::524d78fc00904a7dfc0fcce7a97b9d4a https://doi.org/10.4028/www.scientific.net/amm.229-231.1693 Zobrazit plný text záznamu