Detecting edges in images is one of the most challenging issue in computer vision and image processing due to lack of a robust detector. Gökmen and Jain [1] have obtained an edge detector called Generalized Edge Detector (GED), capable of producing most of the existing edge detectors. The original problem was formulated on two dimensional Hybrid model [1] comprised of the linear combination of ...

A novel approach for vehicle tracking using a hybrid adaptive Kalman filter is proposed. The utilizes recurrent neural networks to learn the vehicle’s geometrical and kinematic features, which are then used in supervised learning model determine actual process noise covariance framework. This addresses limitations of traditional linear filters, can suffer from degraded performance due uncertain...

Hybrid filter banks have received increasing attention in the literature, for applications such as high-speed, high-resolution A/D and D/A converter design. In the manufacturing process, however, the filter coefficients of a hybrid filter bank are plagued with some errors due to technological limitations, particularly those of the analog filters, leading to degradation of the system performance...

In this paper, we describe the first hybrid semantic Web service matchmaker for OWL-S services, called OWLSMX. It complements crisp logic-based semantic matching of OWL-S services with token-based syntactic similarity measurements in case the former fails. The results of the experimental evaluation of OWLS-MX provide strong evidence for the claim that logic-based semantic matching of OWL-S serv...

Conventional methods use a dynamic programming algorithm along with a partition function model to compute the binding affinity of two DNA molecules. HYBRID is a software that implements such an algorithm. The new approach also uses HYBRID but reduces the number of binding sites that have to be evaluated with the partition function model. It uses a filterand index-based method on a set of candid...

Image enhancement is a primary need for the recognition of different biometrics in biometric-based identification systems. The recognition-rate of a biometric system depends heavily upon the quality of the input biometric given to the system. In this paper, a novel hybrid Fuzzy model (IEHFS) is proposed to improve the visual quality of iris images. The experimental results based on calculating ...

An analysis is given of the specific points of the noise power gain of the p-lag median hybrid FIR filters in applications to ultrasound image processing. An important feature of such a gain is that, at some cross points, it converges to the reduced degree one. The effect of smoothing is evaluated in terms of the signal-to-noise ratio and root mean square error metrics. We show that image enhan...

Abstract In this paper a promising novel output voltage filtering concept for multi-cell switch-mode power amplifiers is analyzed. The proposed hybrid filtering concept is based on a passive LC filter enhanced by a linear-mode correction stage of small rated power. Using this principle, also "sub-harmonic" (i.e. low-frequency) switching noise distortions (typically appearing in real interleaved...

ABSTRACT Common motion compensated hybrid video coding standards such as H.263, MPEG-1, MPEG-2, MPEG-4 are based on a fractional-pel displacement vector resolution of 1/2-pel. Recent approaches like MPEG-4 ACE and H.26L (TML5) use a 1/4-pel displacement vector resolution. In order to estimate and compensate fractional-pel displacements, the image signal has to be interpolated. Therefore differe...

This paper describes a Bayesian approach to model selection and state estimation for sensor-based robot tasks. The approach is illustrated with a hybrid model-state estimation example from force-controlled autonomous compliant motion: simultaneous (discrete) Contact Formation recognition and estimation of (continuous) geometrical parameters. Previous research in this area mostly tries to solve ...