The classical non-local means image denoising approach, the value of a pixel is determined based on the weighted average of other pixels, where the weights are determined based on a fixed isotropic ally weighted similarity function between the local neighbourhoods. It is demonstrate that noticeably improved perceptual quality can be achieved through the use of adaptive anisotropic ally weighted...

A primary fibroxanthoma of the central nervous system is very rare. We present a case of an infantile fibroxanthoma that arose from the cranial dura mater in a six-month-old girl with US, MRI and PET/CT features that mimicked a meningioma. The tumor appeared as a large, well-circumscribed echogenic mass in the right parieto-occipital area on US. The tumor was seen as isoattenuated to slightly h...

Fig. 1.-A, Lateral skull radiograph shows a large midline calcified mass in corpus callosum region. B, CT with IV contrast enhancement shows midline density in falx region. C, Midsagittal T1-weighted (300 / 40) MR image shows a large mass of mixed signal intensity in falx cerebri region . Note that posterior half of body and splenium of corpus callosum have been replaced by tumor (straight arro...

Classical and clustering techniques for image segmentation are important tools in medical sciences. Classical techniques include histogram, region growing, watershed, and contour. The more recent clustering techniques include standard fuzzy c-means clustering, kernelized c-means, spatial constrained fuzzy c-means, and k-means clustering. These methods are applied on different images, synthetic ...

We describe a novel approach to produce color composite images from hyperspectral data using weighted spectra averages. The weighted average is based on a sequence of numbers (weights) selected using pixel value information and interband distance. Separate sequences of weights are generated for each of the three color bands forming the color composite image. Tuning of the weighting parameters a...

This paper presents a content-based image retrieval system for aggregation and combination of different image features. Feature aggregation is important technique in general content-based image retrieval systems that employ multiple visual features to characterize image content. We introduced and evaluated linear combination to fuse different features. The most important step in the feature agg...

Image de-noising and clustering in medical images are quite complex because of narrow dynamic range and in-homogeneity. Pre processing steps like image de-noising do have influence over the subsequent image processing which misleads further image analysis. In this paper, a new method which incorporates the advantages of adaptive center weighted median filter and hybrid median filter, called Ite...

The decision-based adaptive weighted mean filter is proposed to remove impulse noise from the highly corrupted image. The proposed filter first identifies the corrupted pixels using the soft decision-based noise detector and then removes the detected impulses using the adaptive weighted mean filter while keeping the uncorrupted pixels unaltered. Extensive simulations indicate that the proposed ...

We propose a novel algorithm for unsupervised segmentation of color images. The proposed approach utilizes a dynamic color gradient thresholding scheme that guides the region growing process. Given a color image, a weighted vectorbased color gradient map is generated. Seeds are identified and a dynamic threshold is then used to perform reliable growing of regions on the weighted gradient map. O...