说明：  基于存在概率图的圆检测方法.提出了一种基于存在概率图的圆检测方法, 将图像边缘点共圆结构信息变换为圆存在概率图中的峰, 再通过峰值检测确定圆的参数。该方法能有效地检出边缘不清晰、不完整的圆形轮廓, 具有占用内存少, 阈值物理意义明确的特 点, 较好地解决了标准 HT 圆检测方法中占用内存空间大, 计算效率低的问题。实验结果表明圆存在概率图具有较强的稳定性和分辨能力.
(Probability map based on the existence of circle detection method. Presents a probability map based on the existence of circle detection method to image edge points, a total of circular structure of the existence of information is transformed into a round map of the peak probability, and then through the peak detector to determine the parameters of a round. This method is effective in detecting the edge of unclear, incomplete circular profile, with less memory, the physical meaning of the threshold specific characteristics, a better solution to the standard circle detection method HT memory space, the computational efficiency of low- problems. The experimental results show that the existence of the probability circle map has strong stability and resolving power.)