In sequential learning schemes, dynamic model adaptation is preferable over static model size selection. In this paper, we apply an incremental model selection approach to a locally updated Normalized Gaussian network (NGnet), and improve it for better robustness against negative interference. Model adaptation is enabled by applying some unit manipulation mechanisms, including a produce, delete...

This paper presents a method of image enhancement using an adaptive thresholding method based on the human visual system. We utilize a number of different enhancement algorithms applied selectively to the different regions of an image to achieve a better overall enhancement than applying a single technique globally. The presented method is useful for images that contain various regions of impro...

In this paper, we present a comparison of two techniques for noise reduction on CT set of projections. We use for filtering the Pointwise Wiener filter and thresholding of the Wavelet coefficients. We use the Anscombe transformation for noise variance stabilization. The Pointwise Wiener filter was computed with an adaptive windowing scheme for the calculation of local estimates. For the thresho...

A multi-stage approach is presented for thresholding document images, along with its application. The proposed method is based on two stages. Global thresholding is used in first stage to give a preliminary result. A second stage then refines the threshold value based on local spatial characteristics of the regions formed in the first stage. It automatically customizes the thresholding of regio...

After highlighting vessel like structure by an appropriate filter in Matched Filter (MF) technique, thresholding strategy is needed for the automated detection of blood vessels in retinal images. For the purpose, we propose to use a new technique of entropic thresholding based on Gray Level Spatial Correlation (GLSC) histogram which takes into account the image local property. Results obtained ...

The quality of orthologous protein clusters (OPCs) is largely dependent on the results of the reciprocal BLAST (basic local alignment search tool) hits among genomes. The BLAST algorithm is very efficient and fast, but it is very difficult to get optimal solution among phylogenetically distant species because the genomes with large evolutionary distance typically have low similarity in their pr...

Cloud covers are generally present in optical remote-sensing images, which limit the usage of acquired images and increase the difficulty of data analysis, such as image compositing, correction of atmosphere effects, calculations of vegetation induces, land cover classification, and land cover change detection. In previous studies, thresholding is a common and useful method in cloud detection. ...

modern computerized technology enables more complex visual stimuli and test procedures to be in-corporated into conventional perimetry resulting in several developments in automated perimetry that have contributed to more efficient diagnosis and management of eye diseases. this review will cover a number of advances in automated perimetry including frequency doubling technology perimetry, short...

CELLTRACK algorithm, that will be described in this contribution is member of category of radar cell-tracking nowcasting algorithms. Meteorological radar measures radar reflectivity, therefore the term reflectivity core is more appropriate instead of the term convective cell. Reflectivity core identification is based on single minimum thresholding of maximum reflectivity data. Wind field from a...