| Human Body Image Edge Detection Based on Wavelet Transform |
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| 作者姓名： | 李勇 付小莉 |
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| 作者单位： | Scientific Research Office，Zhongyuan Institute of Technology，Zhengzhou，450007，Scientific Research Office，Zhongyuan Institute of Technology，Zhengzhou，450007 |
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| 基金项目： | This work was supported by the natural science foundation of Henan province(004061000) |
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| 摘 要： | Human dresses are different in thousands way. Human body image signals have big noise, a poor light and shade contrast and a narrow range of gray gradation distribution. The application of a traditional grads method or gray method to detect human body image edges can't obtain satisfactory results because of false detections and missed detections. According to the peculiarity of human body image, dyadic wavelet transform of cubic spline is successfully applied to detect the face and profile edges of human body image and Mallat algorithm is used in the wavelet decomposition in this paper.
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Human Body Image Edge Detection Based on Wavelet Transform |
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| LI Yong,FU Xiao-li
Scientific Research Office,Zhongyuan Institute of Technology,Zhengzhou.Human Body Image Edge Detection Based on Wavelet Transform[J].Journal of Donghua University,2003,20(3). |
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| Authors: | LI Yong FU Xiao-li
Scientific Research Office Zhongyuan Institute of Technology Zhengzhou |
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| Institution: | Scientific Research Office,Zhoagyuan Institute of Technology,Zhengzhou,450007 |
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| Abstract: | Human dresses are different in thousands way. Human body image signals have big noise, a poor light and shade contrast and a narrow range of gray gradation distribution. The application of a traditional grads method or gray method to detect human body image edges can't obtain satisfactory results because of false detections and missed detections. According to the peculiarity of human body image, dyadic wavelet transform of cubic spline is successfully applied to detect the face and profile edges of human body image and Mallat algorithm is used in the wavelet decomposition in this paper. |
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| Keywords: | Wavelet Transform Human Body Image Edges Detection |
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