1 Sponsored by the Bulgarian Science Fund, Grant No.I-801/98. Abstract. Hough Transform is a convenient tool for features extraction from images. In this paper an implementation of Hough Transform is onsidered for automatic track initiation in the surveillance radar space. The need of track initiation arises when there are many moving objects in the sensor surveillance volume and when it is not...

We present an application of machine learning and statistics to the problem of distinguishing between defective and non-defective industrial workpieces, where the defect takes the form of a long and thin crack on the surface of the piece. From the images of pieces a number of features are extracted by using the Hough transform and the Correlated Hough transform. Two datasets are considered, one...

Rapid computation of the Hough Transform is necessary in very many computer vision applications. One of the major approaches for fast Hough Transform computation is based on the use of a small random sample of the data set rather than the full set. Two diierent algorithms within this family are the Randomized Hough Transform (RHT) and the Probabilistic Hough Transform (PHT). There have been con...

This paper presents a technique to improve the performance of motion detection using Hough Transform. The proposed technique uses edge pixels around object corners instead of all of the object edge pixels as used in the Motion Detection using Hough Transform: Direct Approach. As a result, with this corner technique, a number of computations can be reduced and hence, motion detection can be sign...

Physical analogies are an exciting paradigm for creating techniques for image feature extraction. A transform using an analogy to light rays has been developed for the detection of circular and tubular features. It uses a 2D ray tracing algorithm to follow rays through an image, interacting at a low level, to emphasise higher level features. It has been empirically tested as a pre-processor to ...

This article describes a system that takes a photograph of a printed equation and produces a LTEX code representation. The process uses adaptive thresholding with mean filtering, morphological edge smoothing, and the Hough transform for image binarization and skew correction. The project uses Hu invariant moments and circular topology to match characters against a database of characters. The al...

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...

The decomposition of binary images using rectangular blocks of foreground pixels as primitives is considered. Based on this type of decomposition, a fast method for evaluating the Hough transform is introduced. A complexity analysis of the proposed block Hough transform algorithm sets constraints on the complexity of algorithms used for block decomposition, so that the total decomposition and H...

This paper presents a 3D particle position measurement method based on the defocusing concept introduced by A.Pentland with a single camera. Different from the existing approaches, the blur circle is used to identify the blur extent for various defocused particles, and the depth-blur relation is formulated by the modified A.Pentland mathematical formula. And, an eight-step algorithm based on Ci...

This paper proposes performance evaluation of different distance measures used in color iris authentication. The color iris segmentation is carried out using histogram and circular Hough transform. The color iris features are extracted using histogram method. Different distance measures are used for iris authentication. The experimental evaluation shows that Euclidean and Manhattan distance are...