Real-time Hough Transform Based Circular Shape Extraction
نویسندگان
چکیده
In this paper, two circular shape extraction methods based on C A M (Content Addressable M e m o y ) concept are proposed. The first method based on Hough Transform uses only the gradient amplitude infonnation, while the second uses in addition preselected gradient direction to estimate the center coordinates of the circle and then apply the H T circle extraction to extract i t 's mdius. The advantages of both our propositions consist of their performance to keep low both the hardware amount, and the computation time for extraction of unknown, noisy circular shapes.
منابع مشابه
Detection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...
متن کاملDetection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...
متن کاملExtracting Tongue Shape Dynamics from Magnetic Resonance Image Sequences
An important problem in speech research is the automatic extraction of information about the shape and dimensions of the vocal tract during real-time speech production. We have previously developed Southampton dynamic magnetic resonance imaging (SDMRI) as an approach to the solution of this problem. However, the SDMRI images are very noisy so that shape extraction is a major challenge. In this ...
متن کاملParameterizing Arbitrary Shapes via Fourier Descriptors for Evidence-Gathering Extraction
According to the formulation of the Hough Transform, it is possible to extract any shape that can be represented by an analytic equation with a number of free parameters. Nevertheless, the extraction of arbitrary shapes has centered on nonanalytic representations based on a table which specifies the position of edge points relative to a fixed reference point. In this paper we develop a novel ap...
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