In this paper, we introduce iterative mean and median filtering schemes for smoothing noisy 3D shapes given as triangle meshes. Our main idea consists of applying mean and median filtering schemes to mesh normals and then update the mesh vertex position in order to fit the mesh to the modified normals. We also give a quantitative evaluation of the proposed mesh filtering schemes and compare the...

In this paper a wavelet-based logo watermarking scheme is presented. The logo watermark is embedded into all sub-blocks of the LLn sub-band of the transformed host image, using quantization technique. Extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. Knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

In this research, a new uncertainty clustering method has been developed and applied to the spatial time series with seasonality. The unsupervised grouping is based on Neighbourhoods Median Seasonal Entropy. This classification aims discover similar behaviours for group find dissimilarity measure concerning reference r. Neighbourhood’s Internal Verification Coefficient criterion makes it possib...