한국해양대학교

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K-means 알고리즘을 이용한 영상의 명암도 대비 향상

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dc.contributor.author 김동준 -
dc.date.accessioned 2017-02-22T02:22:59Z -
dc.date.available 2017-02-22T02:22:59Z -
dc.date.issued 2008 -
dc.date.submitted 2008-02-11 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002174312 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/8309 -
dc.description.abstract Contrast enhancement has an important role in image processing applications. Conventional contrast enhancement techniques either often fail to produce satisfactory results for a broad variety of low-contrast images, cannot be automatically applied to different images. Because their parameters must be specified manually to produce a satisfactory result for a given image. So, this paper proposes a new contrast enhancement method based on the K-means algorithm. This method is to cluster the histogram components of a low-contrast image using K-means algorithm. And then these clustering histogram components are stretching and equalizing. From the experimental results, the proposed method was more effective than conventional contrast enhancement techniques. -
dc.description.tableofcontents 1. 서 론 1 2. 명암도 대비 향상법 4 2.1 히스토그램 스트레칭법 4 2.2 히스토그램 균등화법 8 2.3 히스토그램 명세화법 11 3. K-means 알고리즘을 적용한 히스토그램의 군집화 13 4. K-means 알고리즘을 이용한 영상의 명암도 대비 향상 15 5. 실험 및 고찰 21 6. 결 론 36 -
dc.language kor -
dc.publisher 한국해양대학교 대학원 -
dc.title K-means 알고리즘을 이용한 영상의 명암도 대비 향상 -
dc.title.alternative Image contrast enhancement using K-means algorithm -
dc.type Thesis -
dc.date.awarded 2008-02 -
dc.contributor.alternativeName Kim Dong Jun -
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제어계측공학과 > Thesis
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