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基于棉纤维截面图像的改进型Canny边缘检测 被引量:1

Edge detection on fiber cross-sectional image by improved Canny operator
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摘要 针对棉纤维截面图像的边缘检测,对Canny边缘检测算子提出改进。在边缘跟踪算法中,引入边缘长度L和边缘分叉间平均间隔(像素数)L两个概念,在边缘跟踪算法中进行边缘类型评估。改进后的Canny边缘检测算子与传统Canny边缘检测算子相比,在同等实验条件下,确保了相同棉纤维边缘检出率的同时,更好地抑制了噪声引起的伪边缘输出。 Edge detection for fiber cross-sectional images is studied in this paper,and the algorithm for improving Canny edge operator is proposed.The edge length L and the average edge phase L are, presented to eliminate the fault edge output.With the improved Canny edge operator,the fiber edge output can be improved,and the fault edge output caused by noise can be removed effectively.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第10期176-178,共3页 Computer Engineering and Applications
基金 国家优秀博士论文作者资助资金(Foundation for the Author of National Excellent Doctoral Dissertation of P.R.China No.200350)
关键词 CANNY边缘检测 纤维截面 边缘跟踪 Canny edge detection fiber cross-section edge following
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同被引文献7

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