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Clustering Analysis of Object Segmentation applying Wavelet Morphology  

Baek, Deok-Soo (Dept. of electronics&Information, Iksan National College)
Byun, Oh-Sung (Dept. of Electronics Engineering Wonkwang University)
Kang, Chang-Soo (Dept. of electronics & Information, Yu Han College)
Publication Information
전자공학회논문지 IE / v.43, no.2, 2006 , pp. 39-48 More about this Journal
Abstract
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.
Keywords
Wavelet Morphology; Color face; HSV color model; spatial auto-object segmentation; spatial qualify;
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