그림진단을 위한 주제색 및 불균형 판단의 자동화
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김성인 | - |
dc.contributor.author | 배준 | - |
dc.contributor.author | 김재민 | - |
dc.date.accessioned | 2021-09-09T18:01:12Z | - |
dc.date.available | 2021-09-09T18:01:12Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2006 | - |
dc.identifier.issn | 1976-5622 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/125983 | - |
dc.description.abstract | Art psychotherapy is widely accepted as an effective tool for diagnosis and treatment of psychological disorders. Important factors for art psychotherapy diagnosis, based on the projection theory that the world of the inner mind appears in drawings, include main color and imbalance of a drawing. This paper develops a system for a machine to determine the main color and the imbalance of a drawing by color recognition and edge detection. Our proposed color recognition procedure adopts NBS(National Bureau of Standards) distance between colors in HVC(Hue, Value, Chroma) color space which is most similar to the human eye's color perception. Our edge detection procedure applies blurring, clustering and transformation to a standard color in a series. Our system considers the numbers of pixels and clusters for each color as a criterion for main color and the frequency of edge coordinates for each region for imbalance. The proposed machine procedure, verified through case studies, can help overcome the subjectivity, ambiguity and uncertainty in human decision involved in art psychotherapy. | - |
dc.publisher | 제어·로봇·시스템학회 | - |
dc.title | 그림진단을 위한 주제색 및 불균형 판단의 자동화 | - |
dc.title.alternative | Machine's Determination of Main Color and Imbalance in a Drawing for Art Psychotherapy | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 김성인 | - |
dc.identifier.bibliographicCitation | 제어.로봇.시스템학회 논문지, v.12, no.2, pp.119 - 129 | - |
dc.relation.isPartOf | 제어.로봇.시스템학회 논문지 | - |
dc.citation.title | 제어.로봇.시스템학회 논문지 | - |
dc.citation.volume | 12 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 119 | - |
dc.citation.endPage | 129 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001116270 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | art psychotherapy | - |
dc.subject.keywordAuthor | imbalance | - |
dc.subject.keywordAuthor | color recognition | - |
dc.subject.keywordAuthor | edge detection | - |
dc.subject.keywordAuthor | color space | - |
dc.subject.keywordAuthor | clustering | - |
dc.subject.keywordAuthor | machine&apos | - |
dc.subject.keywordAuthor | s decision | - |
dc.subject.keywordAuthor | art psychotherapy | - |
dc.subject.keywordAuthor | imbalance | - |
dc.subject.keywordAuthor | color recognition | - |
dc.subject.keywordAuthor | edge detection | - |
dc.subject.keywordAuthor | color space | - |
dc.subject.keywordAuthor | clustering | - |
dc.subject.keywordAuthor | machine&apos | - |
dc.subject.keywordAuthor | s decision | - |
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