图像处理中的圆分析算法

快速而准确地检测圆在计算机视觉、自动化检测领域有着广泛的应用前景.传统的Hough变换有计算量大、占用内存多、提取的参数受参数空间的量化间隔制约等缺陷,针对在简单图像中检测圆时的实时性要求,提出了一种新的圆检测方法.该方法在图像无相交的情况下,先对图像进行二值化处理,然后对其进行边缘检测,取得图像的边缘链码,在这基础上对图像的圆形度,圆半径等圆的基本要素进行分析计算.该方法计算速度快、占用的内存小,检测性能比较高.

Algorithm of Circle Analyse in Image Processing

To detect circles fast and correctly has wide application prospect in the field of computer vision and automatic inspection. The conventional Hough transform has the limitation of using too much computation and memory space, and restricted extracting parameter. Aiming at this problem, the authors bring forward a new detection method in allusion to the real-time requirement of detecting circle in simple, image. When the image does not intersect each other, they transform the image into binary image and then perform edge detection to it. After that the chain code of the image is acquired. Basing on that, the circularity of the image and radius of the circle more quickly are calculated and a satisfactory result is gotten.