多核环境下多通道热红外图像边缘检测方法

2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2016-03-11 DOI:10.1109/ICMTMA.2016.103

Xu Hongye, Gao Ruilin

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引用次数: 2

摘要

针对热红外图像边缘检测速度慢的特点，本文采用多核编程技术，对传统的Sobel算子进行了并行设计。在多通道图像信息的基础上，提出了一种基于数学形态学和传统边缘检测方法的并行双电平彩色边缘检测方法，将每个通道的图像数据分配到不同的核。这样减少了热红外图像边缘检测的运行时间。应用实例证明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-channel Thermal Infrared Image Edge Detection Method under Multi-core Environment

For the thermal infrared image edge detection is slow, the multi-core programming technology is applied in this paper, the traditional Sobel operator was redesigned in a parallel way. This paper proposes a parallel bi-level color edge detection methodology with mathematical morphology and the traditional edge detection methods based on the multi-channel image information, the image data of each channel was assigned to different cores. This reduced the thermal infrared image edge detection running time. The appliance proves the validity of the methodology.

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来源期刊

2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

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