机器视觉中CCD自然图像的降噪和分割研究-电路与系统专业论文.docx

视觉捡测系统的试验：(1)交遥事效瑷场勘查系统；(2)火炮囊动检裁系统。关键谰：㈣YCCD自然图像，降噪，分割，非线性散射V 视觉捡测系统的试验：(1)交遥事效瑷场勘查系统；(2)火炮囊动检裁系统。 关键谰：㈣YCCD自然图像，降噪，分割，非线性散射V II AbstractScientific Abstract Scientific research and statistics show that Vision System assist human acquire more than 3／4 information form environment．To intelligence machines，endow vision ability to them is necessary；therefore a new subject，machine vision was developed． Images de·noise and segmentation technique as the importance portion of Machine Vision，a／e widely applied in practice and get abundantly regards． This paper is supported by the projects of Vision Coordinate Measure Machine and Optimized Model of Vision Coordinate Measure Machine．It involves the theory and measurement domain applications of the CCD natural image de—noise and segmentation in low level and middle level vision．The main research works include： analysis CCD natural image noise，proposes a noise statistical model of affecting stereo matching precision and designs a de-noise filter,establish the diffusion equations based on scale gradient images and designs multi-scale image segmentation arithmetic，determine the optimal segmentation scale，designs all active pursuit segmentation method．强e main achievement of the research works Can be summarized as follow： {．Classified the random noise of CCD natural images into three categories： measuring noise，illumination noise and noise coming from parallax according to experimentation,qualitative and quantitative analyze them．Proposed a straightforward random noise staffstioa|mOdel based on the stereo matching characteristic in binocular systems+Therefore，an algorithm to reduce noise while preserving useful information is designed．Experimental results show that the algorithm has the advantage of robust and can make 3D measuring precision of binocular systems better than士1／4 pixel in practical applications． 2。Established four diffusion equations based on scale gradient image by feedback and give their physics interpretation res