Multiresolution Image Parametrization for Improving Texture Classification
نویسندگان
چکیده
منابع مشابه
Multiresolution Image Parametrization for Improving Texture Classification
In the paper an innovative alternative to automatic image parametrization on multiple resolutions, based on texture description with specialized association rules, and image evaluation with machine learning methods is presented. The algorithm ArTex for parameterizing textures with association rules belonging to structural parametrization algorithms was developed. In order to improve the classif...
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Effective representation of image texture is important for an image classification task. Statistical modelling in wavelet domains has been widely used to image texture representation. However, due to the intra-class complexity and inter-class diversity of textures, it is hard to use a predefined probability distribution function to fit adaptively all wavelet subband coefficients of different te...
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CLASSIFICATION Hossam Osman and Steven D. Blostein Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada, K7L 3N6 ABSTRACT This paper proposes a variation of the standard backpropagation (BP) training algorithm for the particular application of multiresolution image classi cation. The proposed variation is that, during the backward phase of training, h...
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The histogram of image intensities is used extensively for the retrieval of images from visual databases. An obvious way to extend this feature is to compute the histograms of multiple resolutions of an image. Both this extension and the plain histogram are fast to compute, space efficient, invariant to rigid motions, and robust to noise. In addition, the histograms over multiple image resoluti...
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Texture is a surface property which is used to identify and recognize the object. Texture analysis is important in many applications of computer image analysis for classification and segmentation of images based on local spatial patterns of intensity or color. In texture classification the goal is to assign an unknown sample image to one set of known texture classes. The proposed method is text...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2008
ISSN: 1687-6172,1687-6180
DOI: 10.1155/2008/617457