Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.
物体的形状识别是模式识别的重要方向，广泛应用于图像分析、机器视觉和目标识别等领域。
Shape is the inherence characteristic of an object in the image, and it is the important character used for the object recognition.
形状是图像中目标的基本内在特性，是用于目标识别的重要特征，因此基于形状的目标识别方法研究具有重要意义。
To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.
为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。
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