Subpixel edge location using improved LSR

Mo Yi, Zhongxuan Liu, Silong Peng
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引用次数: 11

Abstract

Subpixel methods for edge location are of significant importance in computer vision and other applications. Such methods often use local surface models or polynomial approximation for a local neighborhood to obtain the subpixel edge location. Whereas their performance are good in smooth area, they are typically poor to deal with singularities presented in discrete data and bring discontinuous edge location. In this paper, we propose an improved level set reconstruction(ILSR) technique to overcome these limitations by locating curves while: 1) obtaining continuous and smooth curve, and 2) keeping edge, especially corner location precision. This is accomplished by ILSR scheme in which curves are smoothed along isophotes with anchor and topology constraints at corners which are guided by corner judgement This method results in subpixel location with accurate edge position.
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使用改进的LSR进行亚像素边缘定位
亚像素边缘定位方法在计算机视觉和其他应用中具有重要意义。这种方法通常使用局部曲面模型或局部邻域的多项式近似来获得亚像素边缘位置。虽然它们在光滑区域具有良好的性能,但在处理离散数据中的奇异性时往往表现较差,并带来不连续的边缘定位。本文提出了一种改进的水平集重建(ILSR)技术来克服这些局限性,在定位曲线的同时:1)获得连续光滑的曲线;2)保持边缘尤其是角的定位精度。这是通过ILSR方案来实现的,该方案沿着等距线平滑曲线,在角点处有锚点和拓扑约束,并在角点判断的指导下进行平滑,该方法可以实现精确边缘位置的亚像素定位。
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