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A Breast Detecting Algorithm for Adult Image Recognition
Information spreading on the Internet is increasing explosively. Juveniles should be protected from the harmful information. Adult image recognition is one of the important works. In order to avoid the low recognizing accuracy of present algorithms, an adult image recognizing algorithm taking model&...
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creator | Xiaoyin Wang Changzhen Hu Shuping Yao |
description | Information spreading on the Internet is increasing explosively. Juveniles should be protected from the harmful information. Adult image recognition is one of the important works. In order to avoid the low recognizing accuracy of present algorithms, an adult image recognizing algorithm taking model's breast as recognizing object is proposed and discussed in this paper. The algorithm uses fuzzy cluster method to segment candidate region according to common colors of breast feature. After getting the preliminary candidate region, the algorithm applies ¿ what¿ and ¿ where¿ way for information processing of visual system to compose integrated breast feature vector. The algorithm uses Forward Propagation neural network to judge whether the candidate region is a breast feature or not. Then the result of image recognition is gotten through the existence of breast. Experiments show that the developed recognizing algorithm can accurately confirm whether there are breast parts in images or not. Therefore, it can be applied in practical adult image recognizing system effectively. |
doi_str_mv | 10.1109/ICIII.2009.542 |
format | conference_proceeding |
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Juveniles should be protected from the harmful information. Adult image recognition is one of the important works. In order to avoid the low recognizing accuracy of present algorithms, an adult image recognizing algorithm taking model's breast as recognizing object is proposed and discussed in this paper. The algorithm uses fuzzy cluster method to segment candidate region according to common colors of breast feature. After getting the preliminary candidate region, the algorithm applies ¿ what¿ and ¿ where¿ way for information processing of visual system to compose integrated breast feature vector. The algorithm uses Forward Propagation neural network to judge whether the candidate region is a breast feature or not. Then the result of image recognition is gotten through the existence of breast. Experiments show that the developed recognizing algorithm can accurately confirm whether there are breast parts in images or not. Therefore, it can be applied in practical adult image recognizing system effectively.</description><identifier>ISSN: 2155-1456</identifier><identifier>ISBN: 0769538762</identifier><identifier>ISBN: 9780769538761</identifier><identifier>EISSN: 2155-1472</identifier><identifier>DOI: 10.1109/ICIII.2009.542</identifier><identifier>LCCN: 2009935370</identifier><language>eng</language><publisher>IEEE</publisher><subject>adult image recognition ; Breast ; breast feature ; Clustering algorithms ; Computer vision ; Humans ; image processing ; Image recognition ; Image segmentation ; Information management ; Internet ; Neural networks ; Noise measurement ; Skin</subject><ispartof>2009 International Conference on Information Management, Innovation Management and Industrial Engineering, 2009, Vol.4, p.341-344</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/5370514$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27923,54553,54918,54930</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5370514$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiaoyin Wang</creatorcontrib><creatorcontrib>Changzhen Hu</creatorcontrib><creatorcontrib>Shuping Yao</creatorcontrib><title>A Breast Detecting Algorithm for Adult Image Recognition</title><title>2009 International Conference on Information Management, Innovation Management and Industrial Engineering</title><addtitle>ICIII</addtitle><description>Information spreading on the Internet is increasing explosively. Juveniles should be protected from the harmful information. Adult image recognition is one of the important works. In order to avoid the low recognizing accuracy of present algorithms, an adult image recognizing algorithm taking model's breast as recognizing object is proposed and discussed in this paper. The algorithm uses fuzzy cluster method to segment candidate region according to common colors of breast feature. After getting the preliminary candidate region, the algorithm applies ¿ what¿ and ¿ where¿ way for information processing of visual system to compose integrated breast feature vector. The algorithm uses Forward Propagation neural network to judge whether the candidate region is a breast feature or not. Then the result of image recognition is gotten through the existence of breast. Experiments show that the developed recognizing algorithm can accurately confirm whether there are breast parts in images or not. Therefore, it can be applied in practical adult image recognizing system effectively.</description><subject>adult image recognition</subject><subject>Breast</subject><subject>breast feature</subject><subject>Clustering algorithms</subject><subject>Computer vision</subject><subject>Humans</subject><subject>image processing</subject><subject>Image recognition</subject><subject>Image segmentation</subject><subject>Information management</subject><subject>Internet</subject><subject>Neural networks</subject><subject>Noise measurement</subject><subject>Skin</subject><issn>2155-1456</issn><issn>2155-1472</issn><isbn>0769538762</isbn><isbn>9780769538761</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9j81KxDAURoM64HR068ZNXqD1Jult0mUdRw0MCKLrIaY3NdIfaePCt5dBcfUtzuHAx9iVgEIIqG_s1lpbSIC6wFKesLUUiLkotTxlGeiqRmV0Jc_-AVYrlh39WqHScM6yZfkAqFSlYM1Mw29nckvid5TIpzh2vOm7aY7pfeBhmnnTfvWJ28F1xJ_JT90YU5zGC7YKrl_o8m837PV-97J9zPdPD3bb7PMoNKYcqTSOPCl0BpTUlQ5kAmkFvg1GtICqBVmik5pKD28BQ9uSByOEhuCV2rDr324kosPnHAc3fx-OT1CU6gfKk0kG</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Xiaoyin Wang</creator><creator>Changzhen Hu</creator><creator>Shuping Yao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>A Breast Detecting Algorithm for Adult Image Recognition</title><author>Xiaoyin Wang ; Changzhen Hu ; Shuping Yao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5e48aece35a8032767fe8fe730cdf81d053d0245a27e4c0bf5fddec081170fc33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>adult image recognition</topic><topic>Breast</topic><topic>breast feature</topic><topic>Clustering algorithms</topic><topic>Computer vision</topic><topic>Humans</topic><topic>image processing</topic><topic>Image recognition</topic><topic>Image segmentation</topic><topic>Information management</topic><topic>Internet</topic><topic>Neural networks</topic><topic>Noise measurement</topic><topic>Skin</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiaoyin Wang</creatorcontrib><creatorcontrib>Changzhen Hu</creatorcontrib><creatorcontrib>Shuping Yao</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 Xplore</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>Xiaoyin Wang</au><au>Changzhen Hu</au><au>Shuping Yao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Breast Detecting Algorithm for Adult Image Recognition</atitle><btitle>2009 International Conference on Information Management, Innovation Management and Industrial Engineering</btitle><stitle>ICIII</stitle><date>2009-12</date><risdate>2009</risdate><volume>4</volume><spage>341</spage><epage>344</epage><pages>341-344</pages><issn>2155-1456</issn><eissn>2155-1472</eissn><isbn>0769538762</isbn><isbn>9780769538761</isbn><abstract>Information spreading on the Internet is increasing explosively. Juveniles should be protected from the harmful information. Adult image recognition is one of the important works. In order to avoid the low recognizing accuracy of present algorithms, an adult image recognizing algorithm taking model's breast as recognizing object is proposed and discussed in this paper. The algorithm uses fuzzy cluster method to segment candidate region according to common colors of breast feature. After getting the preliminary candidate region, the algorithm applies ¿ what¿ and ¿ where¿ way for information processing of visual system to compose integrated breast feature vector. The algorithm uses Forward Propagation neural network to judge whether the candidate region is a breast feature or not. Then the result of image recognition is gotten through the existence of breast. Experiments show that the developed recognizing algorithm can accurately confirm whether there are breast parts in images or not. Therefore, it can be applied in practical adult image recognizing system effectively.</abstract><pub>IEEE</pub><doi>10.1109/ICIII.2009.542</doi><tpages>4</tpages></addata></record> |
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subjects | adult image recognition Breast breast feature Clustering algorithms Computer vision Humans image processing Image recognition Image segmentation Information management Internet Neural networks Noise measurement Skin |
title | A Breast Detecting Algorithm for Adult Image Recognition |
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