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基于数学形态学与Hough变换的乐谱谱线探测算法研究
引用本文:张立印,陈根方.基于数学形态学与Hough变换的乐谱谱线探测算法研究[J].计算机时代,2010(9):32-34.
作者姓名:张立印  陈根方
作者单位:杭州师范大学信息科学与工程学院,浙江,杭州,310036
摘    要:数学形态学是综合了多学科知识的交叉学科,是一种非线性的图像分析理论,己成为图像处理的重要工具之一。文章简单介绍了数学形态学和二值形态学的基本运算—腐蚀和膨胀,并提出了基于数学形态学的乐谱谱线探测算法。实验结果证明,与Hough变换探测直线算法相比,该乐谱谱线探测算法具有运算速度快、效率高、抗噪声能力强等优点。

关 键 词:数学形态学  腐蚀  膨胀  Hough变换  谱线探测

Research on Algorithms of Musical Score Lines Detection Based on Mathematical Morphology and Hough Transform
ZHANG Li-yin,CHEN Gen-fang.Research on Algorithms of Musical Score Lines Detection Based on Mathematical Morphology and Hough Transform[J].Computer Era,2010(9):32-34.
Authors:ZHANG Li-yin  CHEN Gen-fang
Affiliation:(School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, Zhejiang 310036, China)
Abstract:Mathematical morphology is the overlapping science of synthesizing multi-disciplinary knowledge and a non-linear theory of image analysis, which has become one of important tools for image processing. This paper simply introduces mathematical morphology and its basic operation of binary morphology: erosion and dilation, and then proposes an algorithm of musical score lines detection based on mathematical morphology. The experiment results indicate that the proposed algorithm has the advantages such as fast computation, high efficiency and strong anti-noise ability compared with the algorithm of Hough transform for detecting straight lines.
Keywords:mathematical morphology  erosion  dilation  Hough transform  score lines detection
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