Roughness based perceptual analysis towards digital skin imaging system with haptic feedback.
Identifieur interne : 000240 ( PubMed/Checkpoint ); précédent : 000239; suivant : 000241Roughness based perceptual analysis towards digital skin imaging system with haptic feedback.
Auteurs : K. Kim [Corée du Sud]Source :
- Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) [ 1600-0846 ] ; 2015.
Abstract
To examine psoriasis or atopic eczema, analyzing skin roughness by palpation is essential to precisely diagnose skin diseases. However, optical sensor based skin imaging systems do not allow dermatologists to touch skin images. To solve the problem, a new haptic rendering technology that can accurately display skin roughness must be developed. In addition, the rendering algorithm must be able to filter spatial noises created during 2D to 3D image conversion without losing the original roughness on the skin image. In this study, a perceptual way to design a noise filter that will remove spatial noises and in the meantime recover maximized roughness is introduced by understanding human sensitivity on surface roughness.
DOI: 10.1111/srt.12270
PubMed: 26450343
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Roughness based perceptual analysis towards digital skin imaging system with haptic feedback.</title><author><name sortKey="Kim, K" sort="Kim, K" uniqKey="Kim K" first="K" last="Kim">K. Kim</name><affiliation wicri:level="1"><nlm:affiliation>Department of Information & Telecommunication Eng., College of Information & Technology, Incheon National University, Songdo, Incheon, Korea.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Information & Telecommunication Eng., College of Information & Technology, Incheon National University, Songdo, Incheon</wicri:regionArea><wicri:noRegion>Incheon</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26450343</idno><idno type="pmid">26450343</idno><idno type="doi">10.1111/srt.12270</idno><idno type="wicri:Area/PubMed/Corpus">000226</idno><idno type="wicri:Area/PubMed/Curation">000226</idno><idno type="wicri:Area/PubMed/Checkpoint">000240</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Roughness based perceptual analysis towards digital skin imaging system with haptic feedback.</title><author><name sortKey="Kim, K" sort="Kim, K" uniqKey="Kim K" first="K" last="Kim">K. Kim</name><affiliation wicri:level="1"><nlm:affiliation>Department of Information & Telecommunication Eng., College of Information & Technology, Incheon National University, Songdo, Incheon, Korea.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Information & Telecommunication Eng., College of Information & Technology, Incheon National University, Songdo, Incheon</wicri:regionArea><wicri:noRegion>Incheon</wicri:noRegion></affiliation></author></analytic><series><title level="j">Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)</title><idno type="eISSN">1600-0846</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">To examine psoriasis or atopic eczema, analyzing skin roughness by palpation is essential to precisely diagnose skin diseases. However, optical sensor based skin imaging systems do not allow dermatologists to touch skin images. To solve the problem, a new haptic rendering technology that can accurately display skin roughness must be developed. In addition, the rendering algorithm must be able to filter spatial noises created during 2D to 3D image conversion without losing the original roughness on the skin image. In this study, a perceptual way to design a noise filter that will remove spatial noises and in the meantime recover maximized roughness is introduced by understanding human sensitivity on surface roughness.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">26450343</PMID><DateCreated><Year>2016</Year><Month>3</Month><Day>25</Day></DateCreated><DateRevised><Year>2016</Year><Month>3</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1600-0846</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2015</Year><Month>Oct</Month><Day>9</Day></PubDate></JournalIssue><Title>Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)</Title><ISOAbbreviation>Skin Res Technol</ISOAbbreviation></Journal><ArticleTitle>Roughness based perceptual analysis towards digital skin imaging system with haptic feedback.</ArticleTitle><Pagination><MedlinePgn></MedlinePgn></Pagination><ELocationID EIdType="doi">10.1111/srt.12270</ELocationID><Abstract><AbstractText Label="BACKGROUND/PURPOSE" NlmCategory="OBJECTIVE">To examine psoriasis or atopic eczema, analyzing skin roughness by palpation is essential to precisely diagnose skin diseases. However, optical sensor based skin imaging systems do not allow dermatologists to touch skin images. To solve the problem, a new haptic rendering technology that can accurately display skin roughness must be developed. In addition, the rendering algorithm must be able to filter spatial noises created during 2D to 3D image conversion without losing the original roughness on the skin image. In this study, a perceptual way to design a noise filter that will remove spatial noises and in the meantime recover maximized roughness is introduced by understanding human sensitivity on surface roughness.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A visuohaptic rendering system that can provide a user with seeing and touching digital skin surface roughness has been developed including a geometric roughness estimation method from a meshed surface. In following, a psychophysical experiment was designed and conducted with 12 human subjects to measure human perception with the developed visual and haptic interfaces to examine surface roughness.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">From the psychophysical experiment, it was found that touch is more sensitive at lower surface roughness, and vice versa. Human perception with both senses, vision and touch, becomes less sensitive to surface distortions as roughness increases. When interact with both channels, visual and haptic interfaces, the performance to detect abnormalities on roughness is greatly improved by sensory integration with the developed visuohaptic rendering system.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The result can be used as a guideline to design a noise filter that can perceptually remove spatial noises while recover maximized roughness values from a digital skin image obtained by optical sensors. In addition, the result also confirms that the developed visuohaptic rendering system can help dermatologists or skin care professionals examine skin conditions by using vision and touch at the same time.</AbstractText><CopyrightInformation>© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList><Author><LastName>Kim</LastName><ForeName>K</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Department of Information & Telecommunication Eng., College of Information & Technology, Incheon National University, Songdo, Incheon, Korea.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="">JOURNAL ARTICLE</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>10</Month><Day>9</Day></ArticleDate></Article><MedlineJournalInfo><MedlineTA>Skin Res Technol</MedlineTA><NlmUniqueID>9504453</NlmUniqueID><ISSNLinking>0909-752X</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">haptic feedback</Keyword><Keyword MajorTopicYN="N">perception study</Keyword><Keyword MajorTopicYN="N">skin imaging</Keyword><Keyword MajorTopicYN="N">skin roughness</Keyword><Keyword MajorTopicYN="N">visuohaptic rendering</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>9</Month><Day>1</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>10</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>10</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>10</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26450343</ArticleId><ArticleId IdType="doi">10.1111/srt.12270</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Corée du Sud</li></country></list><tree><country name="Corée du Sud"><noRegion><name sortKey="Kim, K" sort="Kim, K" uniqKey="Kim K" first="K" last="Kim">K. 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