• Title/Summary/Keyword: spatial auto-object segmentation

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Clustering Analysis of Object Segmentation applying Wavelet Morphology (웨이브렛 형태학 알고리즘 적용한 객체 분할의 클러스터링 분석)

  • Baek, Deok-Soo;Byun, Oh-Sung;Kang, Chang-Soo
    • 전자공학회논문지 IE
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    • v.43 no.2
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    • pp.39-48
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    • 2006
  • This paper is proposed the wavelet morphology algorithm with the spatial auto-object segmentation concept and the clustering concept. When it is segmented the color face by using the proposed algorithm, it is made to the simple image. Also, it is used the spatial quality in order to segment and detect the image as a real time without the user's manufacturing. This removed a small part that is regarded as a noise in image by HSV color model and applied the wavelet morphology to remove a part excepting for the face image. In this paper, it is made a comparison between the wavelet morphology algorithm and the morphology algorithm. And It is showed to accurately detect the face object parts in the image appled to HSV color space model.