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。
First, when the user submits a query media object, the candidate media objects are quickly identified by searching the cross reference graph.
该方法首先通过对网页的预处理,分析其中不同模态媒体对象之间的链接关系,生成交叉参照图。
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