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河北工业大学
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基于图像处理的牛顿环应力测量方法.

Title: 基于图像处理的牛顿环应力测量方法.
Alternate Title: Measurement Method of Newton’s Ring Stress Based on Image Processing.
Language: Chinese
Authors: 杨易1 yangyi443@126.com
郭长立1 guocl@xust.edu.cn
郭朝霞1
冯小强1
Source: Research & Exploration in Laboratory. Aug2017, Vol. 36 Issue 8, p71-76. 6p.
Document Type: Article
Author-Supplied Keywords: curvature radius ; image processing ; Newton’s ring ; stress measurement ; 图像处理 ; 应力测量 ; 曲率半径 ; 牛顿环 ; Language of Keywords: English; Chinese
Abstract (English): According to the tiny change characteristics of the interference image, which was caused by deformation of Newton’s ring under stress, a measurement method of Newton’s ring stress based on image processing was proposed. First, a CMOS image capture device was installed on the reading microscope in replace of human eyes as a receptor. Then, the image of Newton’s ring is processed to improve its contrast by the algorithm of histogram equalization and Gaussian high-pass filtering. It can make up the discontinuity circle of Newton’s ring image edge and process vertical projection of the image to measure the parameter of Newton’s ring under the condition of constant pressure by SUSAN operator and Hough transform. Finally, the application, that the vitreous stress measurement by the deformation of Newton ring image, was completed for verification. The relative error of the curvature radius of lens and the measured stress decreases to the range from 0.1% to 9.9% because of the application of image processing. The using of image processing to measure vitreous stress can reduce the error and he more convenient. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 根据牛顿环受力变形导致干涉图像发生微小变化的特点,提出了一种基于 图像处理的牛顿环应力测量方法。首先采用自行设计的可安装在读数显微镜上的 CMOS图像采集装置代替人眼作为接收器采集牛顿环图像;然后利用直方图均衡 化与高斯高通滤波算法对牛顿环图像进行增强处理,增加其对比度,通过SUSAN 算子与霍夫变换有效地对牛顿环图像的边缘不连续圆进行补足处理,对处理的图 像做垂直投影,实现在不断施加压力情况下牛顿环半径的测量;最后通过实验验证 了应用牛顿环应力变形图像测玻璃体应力的可行性,应用图像处理测得透镜曲率 半径的相对误差缩小到0.2% ~6.5% 范围内,测得应力的相对误差缩小到0.7% ~9.9% 范围内,应用图像处理测量玻璃体应力,误差减小且方便。 [ABSTRACT FROM AUTHOR]
(Copyright applies to all Abstracts.)
Author Affiliations: 1西安科技大学理学院,西安710054
ISSN: 1006-7167 (Sherpa/RoMEO, JCR)
PageCount: 71-77
volume: 36
issue: 8
issn: 10067167
pubdate: 2017
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