Texture Classification and Retrieval Using the Random Neural Network Model
نویسندگان
چکیده
منابع مشابه
Random neural network texture model
This paper presents a novel technique for texture modeling and synthesis using the random neural network (RNN). This technique is based on learning the weights of a recurrent network directly from the texture image. The same trained recurrent network is then used to generate a synthetic texture that imitates the original one. The proposed texture learning technique is very e cient and its compu...
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Brain Tumor Classification Using Wavelet and Texture Based Neural Network
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ةـصلاخلا : دقل مدختسا رٌيثآ يف تاجيوملا ة ينقت نيثحا بلا نم فينصت روصلا يف ةجس نلأا ةعجشم جئا تن عم . لعلو بيلاسلأا ر ثآأ ل يلحت يف اً حاجن ةجس نلأا رصتقت نلآا ىتح ليلحت ىلع طقف ةيدامرلا روصلا . يف ةد يدج ة قيرط حرتقنس ف ،ثحبلا اذ ه يف امأ روص نم ةجس نلأا فينصت ة نولم . لا د متعتو ة قيرط ىلع ةيبصعلا تاكبشلاو تاجيوملا مادختسا . وكتت ن ةديدجلا ةقيرطلا نم جارختسا يجيوملا ليلحتلا نم ةصاخ ت...
متن کاملTexture Classification Using a Two-stage Neural Network Approach
In this a?ticle, we present a two stage neural network structure which combines the selforganizing map (SOM) and the multilayer perceptron (MLP) for the problem of texture classification. The ttxhrre features are extracted using a multichannel approach. These channels comprise of a set of Gaborfilters having different sizes, orientations and frequencies to constitute N-dimensional feature vecto...
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ژورنال
عنوان ژورنال: Computational Management Science
سال: 2006
ISSN: 1619-697X,1619-6988
DOI: 10.1007/s10287-006-0012-1