We propose an image segmentation algorithm that is based on spatially adaptive color and texture features. The features are first developed independently, and then combined to obtain an overall segmentation. Texture feature estimation requires a finite neighborhood which limits the spatial resolution of texture segmentation, while color segmentation provides accurate and precise edge localizati...

This paper presents the subsequent improvements of our adaptive regularization algorithm. The current version of the algorithm contains an additional stabilizer. This stabilizer includes the coefficient, which utilizes prior information about segmentation of an image to be processed. We demonstrate that our adaptive regularization algorithm can exploit only the observed image segmentation for b...

A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...

This review provides an introduction to the use of parametric modelling techniques for time series analysis, and in particular the application of autoregressive modelling to the analysis of physiological signals such as the human electroencephalogram. The concept of signal stationarity is considered and, in the light of this, both adaptive models, and non-adaptive models employing fixed or adap...

Automatic image over-segmentation into superpixels has attracted increasing attention from researchers to apply it as a pre-processing step for several computer vision applications. In 4D Light Field (LF) imaging, aims at achieving not only superpixel compactness and accuracy but also cross-view consistency. Due the high dimensionality of LF images, depth information can be estimated exploited ...

Areas in atrium tissue with complex fractionated atrial electrograms (CFAEs) are among others responsible for the maintenance of atrial fibrillation (AFib). Those areas are ideal target sites for ablation to eliminate AFib and restore normal rhythm. An automated identification of CFAEs with signal processing algorithms is essential to develop an objective strategy for AFib ablation. This paper ...

Thresholding plays a vital role in image segmentation. A wrong selection of threshold may lead to improper segmentation. Adaptive approach will be good enough for the selection of threshold in many occasions. This paper proposes an iterative approach for segmentation of traffic signal based on the prior knowledge about the size of the traffic signals. Region of Interest is found based on a tent...

in this paper, we deal with the problem of adaptive coherent signal detection in gaussian interference (clutter plus noise) for surveillance pulse radars. some of the adaptive radar detectors exploit the ar model for clutter. most of these detectors have been obtained using the glr test. this test relies on the maximum likelihood estimation whose accuracy depends on the number of data. whereas,...