{"id":1861,"date":"2010-12-05T16:37:33","date_gmt":"2010-12-05T16:37:33","guid":{"rendered":"http:\/\/hgpu.org\/?p=1861"},"modified":"2010-12-05T16:37:33","modified_gmt":"2010-12-05T16:37:33","slug":"using-graphics-hardware-for-enhancing-edge-and-circle-detection","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=1861","title":{"rendered":"Using Graphics Hardware for Enhancing Edge and Circle Detection"},"content":{"rendered":"<p>A broad family of problems in computer vision and image analysis require edge and circle detection. This paper explores the properties of the Hough transform for such tasks, improving them under a novel implementation on commodity graphics hardware. We demonstrate both a faster execution and a more reliable detection under different scenarios and a range of parameters selection. Overall, a consistent 3-6 acceleration factor and beyond is achieved for a 500 MHz GeForce 7950 GX2 graphics card versus a typical 3 GHz Pentium 4 dual-core CPU.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A broad family of problems in computer vision and image analysis require edge and circle detection. This paper explores the properties of the Hough transform for such tasks, improving them under a novel implementation on commodity graphics hardware. We demonstrate both a faster execution and a more reliable detection under different scenarios and a range [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[73,33,3],"tags":[444,1791,1786,20,435,182],"class_list":["post-1861","post","type-post","status-publish","format-standard","hentry","category-computer-vision","category-image-processing","category-paper","tag-cg","tag-computer-vision","tag-image-processing","tag-nvidia","tag-nvidia-geforce-7950-gx2","tag-opengl"],"views":2129,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1861","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1861"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1861\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1861"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1861"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1861"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}