基于退化模拟及参数变化特性的动态颗粒图像检测方法

doi:10.3969/j.issn.1000-1158.2012.03.02

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摘要介绍了油液颗粒动态检测系统的发展现状,讨论了动态颗粒图像的检测问题。在分析动态颗粒图像退化原理的基础上,依据系统实验参数对图谱库中的颗粒图像进行了退化模拟,分析和解决了退化图像中颗粒目标提取的问题,研究了图像的各类参数退化前后的变化特性,最终选取了对图像退化具有较好不变性的参数形成了油液动态颗粒图像的检测体系,相比传统系统实现了对颗粒更为详细的检测和分类。

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	张艳彬

关键词 ：计量学, 动态颗粒检测, 图像退化模拟, 退化不变性

Abstract：The development of oil particle dynamic analysis system is described, and dynamic particle image detection is discussed. On the basis of analyzing degradation theory about dynamic particle image, simulation of degradation of standard debris atlas images is carried out according to the system experimentation parameters, and the particle extraction from degraded image is analyzed and resolved, then the variability of various parameters is studied. At last by means of selecting the parameters with steadiness of degradation, the oil dynamic particle image detection system is developed and comparing with conventional systems more detailed detection and classification are realized.

Key words： Metrology Dynamic Particle Detection Image Degradation Simulation Steadiness of Degradation

PACS:

B937

作者简介: 张艳彬（1978-）,男,山东滕州人,南京邮电大学讲师,工学博士,主要从事图像处理与多媒体通信技术的研究。zhangyb@njupt.edu.cn

引用本文:

张艳彬. 基于退化模拟及参数变化特性的动态颗粒图像检测方法[J]. 计量学报, 2012, 33(3): 198-202.
ZHANG Yan-bin. The Method of Dynamic Particle Image Detection Based on Degradation Simulation and Parameter Variability. Acta Metrologica Sinica, 2012, 33(3): 198-202.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2012.03.02 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2012/V33/I3/198