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Threshold based skin color classification
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نویسنده
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karamizadeh s. ,abdullah s.m. ,shayan j. ,nooralishahi p. ,bagherian b.
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منبع
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journal of telecommunication, electronic and computer engineering - 2017 - دوره : 9 - شماره : 2-3 - صفحه:131 -134
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چکیده
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In this paper,we presented a new formula for skin classification. the proposed formula can overcome sensitivity to noise. our approach was based multi-skin color hue,saturation,and value color space and multi-level segmentation. skin regions were extracted using three skin color classes,namely the caucasoid,mongolid and nigroud. moreover,in this formula,we adopted gaussian-based weight k-nn algorithm for skin classification. the experiment result shows that the best result was achieved for caucasoid class with 84.29 percent fmeasure.
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کلیدواژه
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Image Noise; K-NN; Multi Skin; Skin Segmentation
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آدرس
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advanced informatics school (ais),universiti teknologi malaysia (utm),kuala lumpur, Malaysia, advanced informatics school (ais),universiti teknologi malaysia (utm),kuala lumpur, Malaysia, advanced informatics school (ais),universiti teknologi malaysia (utm),kuala lumpur, Malaysia, department of computer science and information technology,university of malaya (um),kuala lumpur, Malaysia, faculty of computer science and information technology,university putra malaysia (upm), Malaysia
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Authors
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