PROJECT TITLE :

Context-adaptive anisotropic diffusion for image denoising

ABSTRACT :

To mitigate smoothing of image options in anisotropic diffusion filtering, a completely unique theme known as context-adaptive anisotropic diffusion is proposed for image denoising via a weighted diffusivity function, which encodes the impact of contextual discontinuities and will adaptively management the smoothing speed for improving the potential of feature preservation together with noise removal. Experimental results validate the effectiveness of the proposed methodology.


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PROJECT TITLE :A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data - 2013ABSTRACT:Feature selection involves identifying a subset of the most useful features that produces compatible results as

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