National Tsing Hua University Institutional Repository:An accurate and fast pattern localization algorithm for automated visual inspection
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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  An accurate and fast pattern localization algorithm for automated visual inspection


    题名: An accurate and fast pattern localization algorithm for automated visual inspection
    作者: Shang-Hong Lai;Ming Fang
    教師: 賴尚宏
    日期: 1999
    出版者: Elsevier
    關聯: REAL-TIME IMAGING,Volume 5,Issue 1,Pages 3-14,FEB 1999
    关键词: Pattern localization
    Newton method
    Iterative process
    Experimental result
    Optical flow
    Visual information
    Pattern recognition
    Image processing
    Fast algorithm
    Real image
    Taylor series
    摘要: Accurate and efficient localization of patterns from noisy images is very crucial in automated visual inspection. In this paper we present an accurate, efficient and robust algorithm for 2D pattern localization based on a modified optical flow constraint, which is derived from the first-order Taylor series approximation of the generalized brightness assumption. Our algorithm allows for large global illumination changes since this factor is explicitly modeled on the generalized brightness assumption. The proposed pattern localization algorithm is based on an energy minimization approach, with the energy function being defined as a weighted sum of the modified optical flow constraints at selected locations with reliable constraints. This location selection is facilitated by a reliability measure given in this paper. The energy minimization is accomplished via an efficient Newton-like iterative algorithm, which has been proved to be reliable for precise localization problems with a rough initial guess from our experiments. Experimental results on some real images and the corresponding simulated images are given to demonstrate the accuracy, efficiency and robustness of our algorithm.
    显示于类别:[資訊工程學系] 期刊論文


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