Resolution of the image plays a key role in each and every field. Resolution is really very important aspect of the image. Inorder to achieve the natural look and feel removing of artifacts is essential.In order to extract out important information from the image, an image with super resolution is needed.The need of single super resolution image arised when the enhanced images lost its natural ...

Mammograms are one of the most widely used techniques for preliminary screening of breast cancers. There is great demand for early detection and diagnosis of breast cancer using mammograms. Texture based feature extraction techniques are widely used for mammographic image analysis. In specific, wavelets are a popular choice for texture analysis of these images. Though discrete wavelets have bee...

Shape modelling (with methods that output shapes) is a new and important task in Bayesian nonparametrics bioinformatics. In this work, we focus on nonparametric for capturing shapes by partitioning space using curves. related the classical Mondrian process used to partition spaces recursively with axis-aligned cuts, widely lied multi-dimensional relational data. The outputs hyper-rectangles. Re...

We consider two-stage scattered data fitting with truncated hierarchical B-splines (THB-splines) for the adaptive reconstruction of industrial models. The first stage scheme is devoted to computation local least squares variational spline approximations, exploiting a simple fairness functional handle distributions locally varying density points. Hierarchical quasi-interpolation based on THB-spl...

Results The search strategy yielded 22 studies whose methodological quality rated between 2 and 12 out of 14 on a Modified PEDro rating scale. Studies were grouped by their primary intervention (eccentric exercise, shock wave therapy, ultrasound, night splints and other conservative management options). Follow up times were predominantly within three months. A meta-analysis was able to be perfo...