Lynn Abbott, Peter M. Athanas, Luna Chen, Robert L. Elliott
{"title":"Finding lines and building pyramids with SPLASH 2","authors":"Lynn Abbott, Peter M. Athanas, Luna Chen, Robert L. Elliott","doi":"10.1109/FPGA.1994.315608","DOIUrl":null,"url":null,"abstract":"This paper describes the design and implementation of two image-processing algorithms using the SPLASH 2 custom computing platform. SPLASH 2 is a reconfigurable system that can be tailored to perform a wide variety of tasks. The particular tasks discussed here are the Hough transform. A well-known technique for detecting lines in an image, and pyramid generation. The process of transforming a single image into a set of filtered images with successively lower spatial resolution. This paper describes how these computationally intensive processes have been mapped onto SPLASH 2 hardware. Both processes have been designed to operate at high speed. In particular, the generation of both Gaussian (low-pass) and Laplacian (band-pass) pyramids can occur concurrently in real time using images from a video camera, assuming the standard frame rate of 30 images per second. Results are presented to illustrate the efficacy of reconfigurable FPGA-based machines to image processing applications.<<ETX>>","PeriodicalId":138179,"journal":{"name":"Proceedings of IEEE Workshop on FPGA's for Custom Computing Machines","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"64","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Workshop on FPGA's for Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPGA.1994.315608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 64
Abstract
This paper describes the design and implementation of two image-processing algorithms using the SPLASH 2 custom computing platform. SPLASH 2 is a reconfigurable system that can be tailored to perform a wide variety of tasks. The particular tasks discussed here are the Hough transform. A well-known technique for detecting lines in an image, and pyramid generation. The process of transforming a single image into a set of filtered images with successively lower spatial resolution. This paper describes how these computationally intensive processes have been mapped onto SPLASH 2 hardware. Both processes have been designed to operate at high speed. In particular, the generation of both Gaussian (low-pass) and Laplacian (band-pass) pyramids can occur concurrently in real time using images from a video camera, assuming the standard frame rate of 30 images per second. Results are presented to illustrate the efficacy of reconfigurable FPGA-based machines to image processing applications.<>
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