The intelligent and self-adaptive urban traffic signal control (TSC) system has become a development trend of intelligent transportation system (ITS). The most city dwellers are concerned with the urban traffic issues very much. So, to provide a self awareness and adaptive facilities in traffic signal control system is become more and more urgent. However, many roadway and traffic applications ...

Based on our systematic studies of IRLS (InfraRed Line-Scanner) image statistical properties and comparative analyzes of state-of-the-art transform based image coders, we propose coding performance improvements by spatial image segmentation and operational rate-distortion optimization. We present in this paper, a new approach for an adaptive coding of IRLS images which combines the advantages o...

Two approaches for ultrasonic image processing are examined. First, signal-adaptive maximum likelihood (SAML) filters are proposed for ultrasonic speckle removal. It is shown that in the case of displayed ultrasound (US) image data the maximum likelihood (ML) estimator of the original (noiseless) signal closely resembles the L(2) mean which has been proven earlier to be the ML estimator of the ...

A generic algorithm is presented for the segmentation of threedimensional multispectral magnetic resonance images. The algorithm is unsupervised and adaptive, does not require initialization, classifies the data in any number of tissue classes and suggests an optimal number of classes. It uses a statistical model including Bayesian distributions for brain tissues intensities and Gibbs Random Fi...

Two-dimensional (TD) adaptive filtering is a technique that can be applied to many image, and signal processing applications. This paper extends the one-dimensional adaptive filter algorithms to TD structures and the novel TD adaptive filters are established. Based on this extension, the TD variable step-size normalized least mean squares (TD-VSS-NLMS), the TD-VSS affine projection algorithms (...

In this paper, we present an enhancement of the fuzzy connectedness-based image segmentation method based on dynamic computation of adaptive weights for the homogeneity and the directional gradient energy functions. Adaptive weights enhance the performance and robustness of the conventional fuzzy connectedness-based segmentation while decreasing the degree of user interaction. The accuracy of t...