摘要
本文分析了目前常见的亚像素边缘检测方法,提出了一种综合运用主轴分析法、Zernike矩和嵌入置信度的彩色图像亚像素边缘检测算法。首先获取影像三维空间中的主轴,然后利用嵌入置信度的边缘检测算子快速检测出所有可能的边缘点,再利用Zernike矩算子以亚像素精度重新定位边缘。实验表明本文算法优于其它的边缘检测算子,充分利用了图像的彩色信息,定位精度能够达到0.13个像素,并且该方法还具有良好的抗噪声干扰性和处理效率。
This paper reviews the existing sub-pixel edge detection methods and presents a new edge detection method with sub-pixel accuracy for color images, which uses the principal axis analysis, Zernike moment and embedded confidence. First, the principal axis of the color vectors in three-dimensional space is obtained from the image through analysis. Then all the possible edge points are quickly detected by the edge detection operator with embedded confidence. At last the edge is relocated with sub-pixel accuracy by means of Zernike moment operator. Experiments show that the proposed method fully utilizes the color feature of the image ; the accuracy of the method is superior to other edge detectors and the location accuracy reaches to 0. 13 pixels. Besides, this method also has strong anti-interference capability and high processing efficiency.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2008年第11期2272-2277,共6页
Chinese Journal of Scientific Instrument
基金
国家863基金项目(2007AA12Z215)
中国博士后科学基金面上资助项目(20070420412)
地理空间信息工程国家测绘局重点实验室基金(200830，B2534)
公益性科研院所基本科研业务费专项资金(77734，77722)资助项目
