摘要
在对二值圆形图像深入认识的基础上,研究了自动提取图像中圆形目标的理论,提出了圆的两个重要参数:圆上像素数与半径比值参数,以及理想半径与圆上像素到圆心(实际半径)差值参数。首先对图像进行降噪和边缘提取,然后利用这两个重要参数,在二值边缘图像中非常快速、有效地提取出圆形目标,并输出其半径和圆心坐标参数。实验表明,该方法能够较高精度、较快速度地在大面积图像中识别圆形目标。
Based on profound research in the circles of binary images, two important parameters are presented： the ratio between the number of pixels on circle and its radius, and the difference between the ideal radius and the actual radius. Using these two important parameters, a new algorithm is designed for fast and efficient circular targets detection. After denoising, edge extraction and circles detection, the centre of circles and radii parameters are exported and the circles are plotted in the image which has the same size as original one but contains nothing. Large numbers of experiments show that mass circles can be detected in very large remote sensing images fast and accurately and the algorithm implemented with VC 7.0.
出处
《激光与红外》
CAS
CSCD
北大核心
2007年第6期575-578,共4页
Laser & Infrared
基金
国家预研基金项目资助(No.51483040104BQ0101)
关键词
降噪
边缘提取
二值图像
圆上像素数
实际半径
denoising
edge extraction
binary image
pixels on a circle
true radius
