基于Sobel算子的金相图边缘提取新算法
    点此下载全文
引用本文:单陇红.基于Sobel算子的金相图边缘提取新算法[J].计算技术与自动化,2016,(4):81-84
摘要点击次数: 801
全文下载次数: 0
作者单位
单陇红 (兰州理工大学 机电工程学院甘肃 兰州730050) 
中文摘要:针对传统Sobel算法存在定位不精确、提取边缘不连续等不足,提出在传统Sobel算子模板基础上增加了45°和135°两个模板,提高了边缘定位的精度;采用局部梯度均值作为阈值对梯度图像进行局部梯度筛选,然后进行边缘提取及细化。实验证明,算法获取的图像边缘与传统Sobel算法相比,具有定位准确、边缘连续性好、噪声少等优点,在金相图片处理中有一定的实用性。
中文关键词:金相图片  Sobel算子  局部梯度筛  选梯度图像细化
 
New Edge Extraction Algorithm of the Metallography Based on Sobel Opeartor
Abstract:Aiming at the deficiency of traditional Sobel algorithm, such as imprecise location, inconsecutive edge in processing, an improved algorithm was put forward, The algorithm added two templates in both directions of 45°and 135°based on traditional sobel operator to improve the precision of edge location. Local gradient was filtered to gradient image by using local gradient mean as the threshold, then edge extraction and refinement were done. The experiment suggests that, compared with traditional Sobel algorithm, the image edge obtained by the new algorithm has the advantage of accurate location, good continuity of the edge and few noise, etc. So, the algorithm has certain practicability in the processing of metallography film.
keywords:metallography  sobel operator  local gradient screening  gradient image thinning
查看全文   查看/发表评论   下载pdf阅读器