LFM signals are widely used in the fields of radar and communication etc., which make signals detection and parameters estimation a very important technology in multicomponent LFM signals. To solve the problems of error detection caused by the cross-terms in WVD-Hough methods and other modified WVD distribution methods, and low parameter estimation precision due to poor timefrequency concentrat...

Hough transform (HT) is a well established method for curve detection and recognition due to its robustness and insensitiveness to noise, and its parallel processing capability. However, HT is quite time-consuming. In this paper, an eliminating particle swarm optimization (EPSO) algorithm is studied to improve the speed of a Hough transform. The solutions of Hough transformation are considered ...

This paper presents a method that converts the line-matching problem in image space into a simple point-matching problem in Hough space. By means of solving this point-matching problem, the correspondence between lines is derived. In this study, line features are first extracted in image space, and transformed into Hough space as points. Then, a point-feature based stereo matching problem is fo...

In this paper we propose a novel method for human face segmentation using the elliptical structure of the human head. It makes use of the information present in the edge map of the image. In this approach we use the fact that the eigenvalues of covariance matrix represent the elliptical structure. The large and small eigenvalues of covariance matrix are associated with major and minor axial len...

The generalized Hough transform is a method for extracting similar figures to the template figure in an image. The generalized Hough transform needs huge memory for the fourdimensional parameter space which represents positions, scales and rotation angles of objective figures and requires processor power for conversing addresses from an image space into the parameter space. The paper proposes a...