Abstract
A method is proposed to discriminate rough and smooth scene images of various classes such as forest and coast, highway and inside city. The concept of fuzzy uncertainty texture spectrum (FUTS) is used. The fuzzy uncertainty parameter measures the uncertainty of the uniform surface in an image. Distribution of membership in a fuzzy image is called FUTS. The roughness or smoothness of a scene structure can be well explained by local texture information in a pixel and its neighborhood. Our proposed method uses the concept of FUTS to classify rough and smooth scene images. Probabilistic neural network (PNN) is used in the final stage to classify 150 images. This technique gives good result with less computational complexity.
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Rath, N.P., Mishra, S., Naik, N. (2015). Scene Classification Using Fuzzy Uncertainty Texture Spectrum. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_11
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DOI: https://doi.org/10.1007/978-81-322-2217-0_11
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