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The Research of Image Processing and Analysis Based on the Body Slice

Author: YaoYanLing
Tutor: ChenYongQiang
School: Wuhan Textile University
Course: Applied Computer Technology
Keywords: Human Body Sections Edge Detection Denoising Contour Extraction Feature size Wavelet Transform
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 25
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Abstract


With the rapid development of virtual reality technology , as well as cross-disciplinary applications , three-dimensional human modeling has been more and more used in real life , theory and technology in the field of CAD also be applied to clothing design and production process , human model in virtual reality try and presentation of clothing , not only to improve the productivity of the clothing , but also improve the satisfaction and the quality of the clothing . Human modeling and simulation for the current key technical problems , namely how to create a realistic 3D human model to study the human body slice images in recognition of the skin and contour extraction algorithm , provide a complete real human skin layer for 3D human modeling data at the same time to lay a solid theoretical foundation to achieve the personalized three-dimensional human body and garment modeling . First , due to the special nature of the medical image sources on the human body slice image denoising processing . Traditional image denoising are at the expense of the edge and texture detail the cost of the edges of the image is very important for the experimental results , this paper, a denoising method based on wavelet transform to enhance edges , that first before de-noising edge detection and image fusion method to enhance the image edge and texture detail , and then in the decomposition of the image using wavelet transform , adaptive denoising Finally, the high frequency of the image , eventually denoising guarantee the image quality . Secondly, in the binarized image based on the extraction, in the contours of the image on the basis of the introduction and analysis of the original outline tracking method , gradation conversion on the image so that the contrast becomes obvious, and then contour tracking , final extract accurate and continuous contour with the contour data , and by the normalization processing , the index value of the re - calculations and processing such as data filtering , to provide valid data modeled as a three-dimensional human body support . Finally, since the feature information with the close relationship of the garment , according to the slice image of the contour information such as for feature size analysis and extraction . The first definition of feature points , feature size of the human body , and then calculate the characteristic dimensions of the human body , and the foundation for three-dimensional garment modeling .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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