In this chapter, several advanced detection algorithms for Track-Before-Detect (TBD) procedures using the Hough Transform (HT) are proposed and studied. The detection algorithms are based on the scheme described in (Carlson et al., 1994) to use the Hough transform for simultaneous target detection and trajectory estimation. The concept described in (Carlson et al., 1994) accepts that a target m...

Methods The conventional 2D method is based on a single view of the aorta which is combined with phase contrast acquisitions to define the starting and stopping points of the arch, where velocities are measured. For the 3D measurement, SSFP axial and sagittal slices including the aortic arch are considered. Two operators measured the 3D length of the arch by delimiting markers on the different ...

Volume 1, Issue 2 July-August 2012 Page 271 Abstract: Iris based biometric personal identification and Verification methods have gained much interest with an increasing emphasis on security. The proposed approach comprises of acquisition of Iris images, Iris Localization, Normalization and Quality Enhancement. Algorithms like Circular Hough transform, Canny Edge Detection, Gabor filters, Homoge...

A high-speed method for circular object location is proposed. The Hough transform is a robust method for detecting parametrically described curves. However, when more than two parameters exist, evaluation of the possible parameters is very expensive. Through the use ofthe geometricproperty that states that the middle point of the hypotenuse of a right triangle is the center of the circumscribed...

We present a novel circle detection technique based on the desirable properties of Gabor wavelet filters. We describe the technique and its Gabor wavelet origins, and perform multiple experiments using both synthetic images and real microscopic images of red blood cells. Our experiments show the proposed technique’s ability to detect single and overlapping circles, with improved results over tr...

A system for real-time traffic sign detection is described in this paper. The system uses restricted Hough transform for circumferences in order to detect circular signs, and for straight lines for triangular ones. Some results obtained from a set of real road images captured under both normal and adverse weather conditions are presented as well in order to illustrate the robustness of the dete...

Iris recognition has been considered as one of the most reliable biometrics technologies in recent years due to its high reliability in person identification. In this paper, an iris recognition system has been proposed. The recognition system relies on four fundamental steps. The first step consists of iris localization using Circular Hough Transform (CHT). In the subsequent step, image is norm...

We present a new method for automatically detecting circular objects in images: we detect an osculating circle to an elliptic arc using a Hough transform, iteratively deforming it into an ellipse, removing outlier pixels, and searching for a separate edge. The voting space is restricted to one and two dimensions for efficiency, and special weighting schemes are introduced to enhance the accurac...

Chickenpox is a viral disease characterized by itchy skin vesicles that can have severe complications in adults. A tool for automatic detection of these lesions in patients’ photographs is highly desirable to help the physician in the diagnosis. In this work we design a method for detection of chickenpox skin lesions in images. It is a combination of image processing techniques color transform,...