Separation of Different Textures in Images using Fuzzy Measures and Fuzzy Functions and their Fusion by Fuzzy Integrals
نویسنده
چکیده
This paper shows the detection of textures by analysing the image by stochastic properties. Different parts of the composed stochastic properties are fused by a decision directed method. The stochastic is mapped on a fuzzy measure and a fuzzy function. The fusion of the so represented stochastic information is achieved by the fuzzy integral. The result of the fuzzy integral is used for a new fuzzy measure, which is combined with the fuzzy function. By this result iteration is generated to eliminate and combine all of the relevant stochastic information within the image. The fundamental stochastic properties of the image will be isolated by different kinds of stochastic methods, by non-linear filtering and by non-parametric methods. For the detection of areas with a specific texture a threshold is used.
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