First and Second Order Statistics Features for Classification of Magnetic Resonance Brain Images
نویسندگان
چکیده
منابع مشابه
First and Second Order Statistics Features for Classification of Magnetic Resonance Brain Images
In literature, features based on First and Second Order Statistics that characterizes textures are used for classification of images. Features based on statistics of texture provide far less number of relevant and distinguishable features in comparison to existing methods based on wavelet transformation. In this paper, we investigated performance of texture-based features in comparison to wavel...
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In this paper we have extracted various features from the images and evaluate their performance for various steganography tools with different classifier like J48, SMO, Naive bayes’s . There are so many steganography tools and many of them are changing the original images statistically during embedding process. To calculate that changes we are extracting various features from the cover image an...
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ژورنال
عنوان ژورنال: Journal of Signal and Information Processing
سال: 2012
ISSN: 2159-4465,2159-4481
DOI: 10.4236/jsip.2012.32019