基于Hough变换和连通体分析的混合圆形体检测算法

被引：3

作者：

闫士举

王成焘

钱理为

机构：

[1] 上海交通大学机械与动力工程学院

[2] 上海交通大学机械与动力工程学院上海

来源：

自动化学报 | 2008年 / 04期

关键词：

图像理解; 模式识别; Hough变换; 连通体; 鲁棒性;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

从复杂图像中准确可靠地检测圆形体是计算机视觉和智能化图像理解的关键技术之一.现存算法存在检测精度低,对噪声及复杂背景敏感等缺点.奉文提出一种新的混合算法.首先采用一种改进Hough变换获取参数空间并生成其横切面图像;然后对该横切面图像进行连通体分析,检测出圆形体的尺寸和中心位置.改进Hough变换重新定义了,掩模及积分算子;连通体分析则采用一种改进网形测度.大量实验表明所提算法具有更高检测率、检测精度和鲁棒性.

引用

页码：408 / 413

页数：6

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