id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_bycggifu5rbtvaonvhceqkdy4y	Engin Avci	An optimum feature extraction method for texture classification	2009	10	.pdf	application/pdf	6812	791	60	An optimum feature extraction method for texture classification algorithm, discrete wavelet transform and neural network for optimum feature extraction from texture images. 1. The presented first novelty in this study is, the using an effectively optimum feature extraction method that increases percentage of the correct texture image classification. wavelet filter and wavelet entropy parameter values for optimum feature extraction from texture images. (3) The feature extraction method by using db5 wavelet filter (FEM(3) The feature extraction method by using db5 wavelet filter (FEM(3) The feature extraction method by using db5 wavelet filter (FEMThese randomly chosen wavelet types, the entropy parameter values and the classification performance of the texture images were indicated in Table 5. Randomly selected wavelet filter and parameter values The correct classification rates for texture images (%) in the wavelet layer of GDWNN to the feature extraction from texture images was shown.	./cache/work_bycggifu5rbtvaonvhceqkdy4y.pdf	./txt/work_bycggifu5rbtvaonvhceqkdy4y.txt