基于改进的数学形态学的OCT图像快速边缘提取算法

计算机科学 ›› 2013, Vol. 40 ›› Issue (Z6): 173-175.

基于改进的数学形态学的OCT图像快速边缘提取算法

张博闻,田小林,孙延奎

澳门科技大学澳门999078;澳门科技大学澳门999078;清华大学北京100084

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受中国国家自然科学基金项目(60971006),澳门科技基金(063/2010/A)资助

Based on the Improved Mathematical Morphology OCT Image Quick Edge Detection Algorithm

ZHANG Bo-wen,TIAN Xiao-lin and SUN Yan-kui

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 提出了一种基于形态学的OCT图像的边缘检测方法,即对原始图像预处理,增加图像的对比度和边缘特性,使用形态学腐蚀和膨胀两个基本算子进行,选取了合适的结构元素,最后采用canny算法提取边缘。实验结果表明,经过改进的数学形态学方法处理的图像边缘特性的提取效果显著增强,且效率高、处理速度快。与经典的边缘检测算子和传统形态学边缘检测算法相比,该算法优势更加明显,边缘提取质量显著提高,且速度有显著提升。

关键词: 数学形态学,多结构元素,边缘提取

Abstract: A new edge detection algorithm based on improved mathematics morphologic method is proposed．By using erosion and dilation basic operators,the structure elements suitable for the image edge detection are chosen,then use Canny edge detector to extraction edge．The improved mathematics morphologic method is helpful to reveal distinct characteristics for some edge features,efficiently with high speed processing．Compared with the classical edge detection operators and traditional mathematics morphology edge detection algorithm,the improved algorithm is more advantage,the quality and speed of the picture edge extraction significantly improved.

Key words: Mathematics morphologic method ,Multiple structuring elements,Edge extraction

张博闻,田小林,孙延奎. 基于改进的数学形态学的OCT图像快速边缘提取算法[J]. 计算机科学, 2013, 40(Z6): 173-175. https://doi.org/

ZHANG Bo-wen,TIAN Xiao-lin and SUN Yan-kui. Based on the Improved Mathematical Morphology OCT Image Quick Edge Detection Algorithm[J]. Computer Science, 2013, 40(Z6): 173-175. https://doi.org/

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