ºÝºÝߣshows by User: janessb / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: janessb / Tue, 28 Jan 2020 09:29:56 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: janessb Hough Transform: Serial and Parallel Implementations /slideshow/hough-transform-serial-and-parallel-implementations/225502113 hough-200128092956
Abstract – Circle detection has been widely applied in image processing applications. Hough transform, the most popular method of shape detection, normally takes a long time to achieve reasonable results, especially for large images. Such perfor- mance makes it almost impossible to conduct real-time image processing with sequential algorithms on community computers. Recently, OpenCL was developed providing a programming paradigm to explore the tremendous computational power for operations on vectors, matrices and high-dimensional matrices. In this paper, five different approaches of sequential and parallelized Hough transform algorithms are researched using CPU and GPU execution. Experimental results indicate that the realized Hough transform on GPUs can achieve up to 4000 times speedup over the serial version on CPU. With other efficient image scaling algorithms, real-time circle extraction can be achieved with GPU support.]]>
Abstract – Circle detection has been widely applied in image processing applications. Hough transform, the most popular method of shape detection, normally takes a long time to achieve reasonable results, especially for large images. Such perfor- mance makes it almost impossible to conduct real-time image processing with sequential algorithms on community computers. Recently, OpenCL was developed providing a programming paradigm to explore the tremendous computational power for operations on vectors, matrices and high-dimensional matrices. In this paper, five different approaches of sequential and parallelized Hough transform algorithms are researched using CPU and GPU execution. Experimental results indicate that the realized Hough transform on GPUs can achieve up to 4000 times speedup over the serial version on CPU. With other efficient image scaling algorithms, real-time circle extraction can be achieved with GPU support.]]> Tue, 28 Jan 2020 09:29:56 GMT /slideshow/hough-transform-serial-and-parallel-implementations/225502113 janessb@slideshare.net(janessb) Hough Transform: Serial and Parallel Implementations janessb Abstract – Circle detection has been widely applied in image processing applications. Hough transform, the most popular method of shape detection, normally takes a long time to achieve reasonable results, especially for large images. Such perfor- mance makes it almost impossible to conduct real-time image processing with sequential algorithms on community computers. Recently, OpenCL was developed providing a programming paradigm to explore the tremendous computational power for operations on vectors, matrices and high-dimensional matrices. In this paper, five different approaches of sequential and parallelized Hough transform algorithms are researched using CPU and GPU execution. Experimental results indicate that the realized Hough transform on GPUs can achieve up to 4000 times speedup over the serial version on CPU. With other efficient image scaling algorithms, real-time circle extraction can be achieved with GPU support. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hough-200128092956-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Abstract – Circle detection has been widely applied in image processing applications. Hough transform, the most popular method of shape detection, normally takes a long time to achieve reasonable results, especially for large images. Such perfor- mance makes it almost impossible to conduct real-time image processing with sequential algorithms on community computers. Recently, OpenCL was developed providing a programming paradigm to explore the tremendous computational power for operations on vectors, matrices and high-dimensional matrices. In this paper, five different approaches of sequential and parallelized Hough transform algorithms are researched using CPU and GPU execution. Experimental results indicate that the realized Hough transform on GPUs can achieve up to 4000 times speedup over the serial version on CPU. With other efficient image scaling algorithms, real-time circle extraction can be achieved with GPU support.
Hough Transform: Serial and Parallel Implementations from John Wayne
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