摘要
Hough变换在图像处理中占有重要地位,是一种检测曲线的有效方法。但使用传统的Hough变换来检测椭圆具有存储空间大计算时间长的缺点。为此提出了一种新的基于Hough变换的椭圆轮廓检测方法,利用椭圆的斜率特性,降低了Hough参数空间的维度,提高了运算运效率,并能良好地对图像中多个椭圆进行检测。
Hough transform takes an important part in the image processing. It is an effective approach for curve detection. But traditional Hough transform has disadvantages of massive storage requirement and high cost of computation in detecting ellipse. A new method based on Hough transform to decide whether the input figure is an ellipse is presented in this article. It utilizes the inclination attribute of ellipse, to reduce the statistical dimension of Hough parameter space, and enhance the operating efficiency, and can detect multi-ellipses well in one image.
出处
《光电子技术》
CAS
2008年第3期161-164,共4页
Optoelectronic Technology
基金
山东省教委科技创新项目(J06B05)
关键词
HOUGH变换
椭圆检测
斜率
算法
Hough transform
ellipse detection
inclination
algorithm
