A New Technique For Texture Classification Using Markov Random Fields
نویسندگان
چکیده
منابع مشابه
A New Technique for Texture Classification Using Markov Random Fields
This paper proposes, applies and evaluates a new technique for texture classification in digital images. The work describes, as far as possible in a quantitative way, the concept of texture in digital images. Furthermore, we developed an innovative model that allows classifying and characterizing texture in digital images, to be used as a useful tool in noninvasive inspection of visual surfaces...
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We present a nonparametric Markov Random Field model for classifying texture in images. This model can capture the characteristics of a wide variety of textures, varying from the highly structured to the stochastic. The power of our modelling technique is evident in that only a small training image is required, even when the training texture contains long range characteristics. We show how this...
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One important and natural application of discrete Markov Random Fields [4] in Image analysis is for texture modelling and segmenation [5]. In this report we describe texture segmentation algorithms which have been performed on two mosaics (See Figure 1). Markov Random Fields were used to model the textures and the textures were distinguished by their parameters, θ, μ, and σ. The Minimum Varianc...
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ژورنال
عنوان ژورنال: International Journal of Computers Communications & Control
سال: 2006
ISSN: 1841-9836,1841-9836
DOI: 10.15837/ijccc.2006.2.2284