An improved Sobel edge detection
This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising a...
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creator | Wenshuo Gao Xiaoguang Zhang Lei Yang Huizhong Liu |
description | This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well. In this paper, we firstly use soft-threshold wavelet to remove noise, then use Sobel edge detection operator to do edge detection on the image. This method is mainly used on the images which includes White Gaussian noises. Through the pictures obtained by the experiment, we can see very clearly that, compared to the traditional edge detection methods, the method proposed in this paper has a more obvious effect on edge detection. |
doi_str_mv | 10.1109/ICCSIT.2010.5563693 |
format | Conference Proceeding |
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In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well. In this paper, we firstly use soft-threshold wavelet to remove noise, then use Sobel edge detection operator to do edge detection on the image. This method is mainly used on the images which includes White Gaussian noises. Through the pictures obtained by the experiment, we can see very clearly that, compared to the traditional edge detection methods, the method proposed in this paper has a more obvious effect on edge detection.</description><identifier>ISBN: 9781424455379</identifier><identifier>ISBN: 1424455375</identifier><identifier>EISBN: 9781424455409</identifier><identifier>EISBN: 9781424455393</identifier><identifier>EISBN: 1424455405</identifier><identifier>EISBN: 1424455391</identifier><identifier>DOI: 10.1109/ICCSIT.2010.5563693</identifier><identifier>LCCN: 2009938342</identifier><language>eng</language><publisher>IEEE</publisher><subject>edge detection ; edge detection operator ; Image edge detection ; Noise reduction ; soft-threshold wavelet de-noising ; White Gaussian noises</subject><ispartof>2010 3rd International Conference on Computer Science and Information Technology, 2010, Vol.5, p.67-71</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5563693$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27908,54903</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5563693$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wenshuo Gao</creatorcontrib><creatorcontrib>Xiaoguang Zhang</creatorcontrib><creatorcontrib>Lei Yang</creatorcontrib><creatorcontrib>Huizhong Liu</creatorcontrib><title>An improved Sobel edge detection</title><title>2010 3rd International Conference on Computer Science and Information Technology</title><addtitle>ICCSIT</addtitle><description>This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well. In this paper, we firstly use soft-threshold wavelet to remove noise, then use Sobel edge detection operator to do edge detection on the image. This method is mainly used on the images which includes White Gaussian noises. Through the pictures obtained by the experiment, we can see very clearly that, compared to the traditional edge detection methods, the method proposed in this paper has a more obvious effect on edge detection.</description><subject>edge detection</subject><subject>edge detection operator</subject><subject>Image edge detection</subject><subject>Noise reduction</subject><subject>soft-threshold wavelet de-noising</subject><subject>White Gaussian noises</subject><isbn>9781424455379</isbn><isbn>1424455375</isbn><isbn>9781424455409</isbn><isbn>9781424455393</isbn><isbn>1424455405</isbn><isbn>1424455391</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNT8tqwzAQVCmBtqm_IBf9gNNdSavHMZg-DIEekp6DZK2LSxIH2xT69zU0h85lmGEYZoRYIawRITzVVbWr92sFs0FktQ36RhTBeTTKGCID4fa_1i4sxIMCCEF7bdSdKMbxC2YYUuTVvZCbs-xOl6H_5ix3feKj5PzJMvPEzdT150exaONx5OLKS_Hx8ryv3srt-2tdbbZlh46mMjmfInHrySdjI1tANtmF1ql5RsrJAdioGkXWJo0O8pxWiNhgDjlYvRSrv96OmQ-XoTvF4edwPal_AZKlQTQ</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Wenshuo Gao</creator><creator>Xiaoguang Zhang</creator><creator>Lei Yang</creator><creator>Huizhong Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201007</creationdate><title>An improved Sobel edge detection</title><author>Wenshuo Gao ; Xiaoguang Zhang ; Lei Yang ; Huizhong Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-b78ba5ef858b46ae601e4d79f72553bdb7006a2c2566b3170da5e2111c1d9d963</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>edge detection</topic><topic>edge detection operator</topic><topic>Image edge detection</topic><topic>Noise reduction</topic><topic>soft-threshold wavelet de-noising</topic><topic>White Gaussian noises</topic><toplevel>online_resources</toplevel><creatorcontrib>Wenshuo Gao</creatorcontrib><creatorcontrib>Xiaoguang Zhang</creatorcontrib><creatorcontrib>Lei Yang</creatorcontrib><creatorcontrib>Huizhong Liu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wenshuo Gao</au><au>Xiaoguang Zhang</au><au>Lei Yang</au><au>Huizhong Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An improved Sobel edge detection</atitle><btitle>2010 3rd International Conference on Computer Science and Information Technology</btitle><stitle>ICCSIT</stitle><date>2010-07</date><risdate>2010</risdate><volume>5</volume><spage>67</spage><epage>71</epage><pages>67-71</pages><isbn>9781424455379</isbn><isbn>1424455375</isbn><eisbn>9781424455409</eisbn><eisbn>9781424455393</eisbn><eisbn>1424455405</eisbn><eisbn>1424455391</eisbn><abstract>This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well. In this paper, we firstly use soft-threshold wavelet to remove noise, then use Sobel edge detection operator to do edge detection on the image. This method is mainly used on the images which includes White Gaussian noises. Through the pictures obtained by the experiment, we can see very clearly that, compared to the traditional edge detection methods, the method proposed in this paper has a more obvious effect on edge detection.</abstract><pub>IEEE</pub><doi>10.1109/ICCSIT.2010.5563693</doi><tpages>5</tpages></addata></record> |
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subjects | edge detection edge detection operator Image edge detection Noise reduction soft-threshold wavelet de-noising White Gaussian noises |
title | An improved Sobel edge detection |
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