FIHT2 Algorithm: A Fast Incremental Hough Transform
نویسندگان
چکیده
FIHT2 algorithm defined by p = x . cos 0 + y .sin 0 + (a/(21()) . x . s ine at 0 5 6 < a / 2 and at p = x . cose + y . sin 0 + (aJ(2It')) . y . cos 0 at a / 2 5 0 < a is a Hough transform which requires nothing of the trigonometric and functional operations to generate the Hough distributions. It is demonstrated in this paper that the FIHT2 is a complete alternative of the usual Hough transform(HT) defined by p = x.cos O+y.sin 0 in the sense that the both transforms could work perfectly as a line detector. It is easy to show that the Hough curves of the FIIJT2 can be generated in a incremental way where addition operation is exclusively needed. It is also investigated that the difference between HT and FIHT2 could be estimated to be neglected.
منابع مشابه
An incremental Hough transform for detecting ellipses in Image Data Streams1
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Transform (RHT) to compute the curve parameters from sampled image points and uses a densitybased robust stream clustering algorithm to discover the potential parameters from the Hough space. Finally we apply density and ...
متن کاملA Fast Decision Technique for Hierarchical Hough Transform for Line Detection
Many techniques have been proposed to speedup the performance of classic Hough Transform. These techniques are primarily based on converting the voting procedure to a hierarchy based voting method. These methods use approximate decision-making process. In this paper, we propose a fast decision making process that enhances the speed and reduces the space requirements. Experimental results demons...
متن کاملFast Detection of Gpr Objects with Cross Correlation and Hough Transform
Abstract—A GPR object detection algorithm delivers a promising performance using the Hough transform through a high computational load. This paper presents a fast Hough-based algorithm. To reduce the parameter space of the Hough transform, first, two parameters for a reflection hyperbola were estimated using cross correlation between adjacent A-scans. Next, only a 1D Hough transform is necessar...
متن کاملIncremental Hough Transform: an Improvement Algorithm for Digital Devices
Hough transform is one of the most common methods for detecting shapes (lines, circles, etc.) in binary or edge images. Its advantage is the ability to detect discontinuous patterns in noisy images, but it requires a large amount of computing power. This paper presents a novel algorithm for computing the Incremental Hough Transform (IHT) that was developed for digital devices implementation. Th...
متن کاملIris localization by means of adaptive thresholding and Circular Hough Transform
In this paper, a new iris localization method for mobile devices is presented. Our system uses both intensity and saturation threshold on the captured eye images to determine iris boundary and sclera area, respectively. Estimated iris boundary pixels which have been placed outside the sclera will be removed. The remaining pixels are mainly the boundary of iris inside the sclera. Then, circular ...
متن کامل