激光与光电子学进展, 2014, 51 (6): 061002, 网络出版: 2014-05-20
基于图像对准式V棱镜折射仪低对比度图像的识别算法研究
Algorithm Research on Image Recognition of Low Contrast Single Line in V-Prism Refractometer in Using Image Alignment
图像处理 垂直投影 机器视觉 低对比度 图像增强 image processing vertical projection machine vision low contrast image enhancement
摘要
高精度光学玻璃折射率是保证光学设计和成像质量的重要条件,主要由V 棱镜折射仪进行检测。在图像对准式V 棱镜折射仪中,用于对准的平行光管所成狭缝中的单线图像质量,直接影响折射率测量中的对准精度,尤其当单线与背景对比度不高时,会大大影响仪器的测量精度。提出一种自适应灰度拉伸和垂直投影相结合的图像增强算法,该方法能快速提取低对比度的单线图像。通过对比实验证明了本算法的有效性,将测角精度提高到了±1",算法稳定测量重复性优于1×10-6,对提高测量光学玻璃折射率的精度有实际意义。
Abstract
High precision refractivity of optical glass is an important condition to ensure the image quality, mainly by the V- prism refractometer detection. In V- prism refractometer in using image alignment, the image quality of single line in the collimator directly affects the alignment accuracy in measurement, especially as the contrast between single line and background is low, affects the accuracy in measurement. A combination of selfadaptive gray equilibrium and vertical projection is proposed. This method can extract the low contrast single line, prove the effectiveness of the algorithm through the comparative experiments, and improve the angle measurement accuracy to ± 1″, repeatability superior to 1 × 10- 6, and algorithm stability is good. It has important practical significance to achieve high precision measurement of optical glass refractive index.
李延风, 安志勇, 王劲松, 呼丹. 基于图像对准式V棱镜折射仪低对比度图像的识别算法研究[J]. 激光与光电子学进展, 2014, 51(6): 061002. Li Yanfeng, An Zhiyong, Wang Jinsong, Hu Dan. Algorithm Research on Image Recognition of Low Contrast Single Line in V-Prism Refractometer in Using Image Alignment[J]. Laser & Optoelectronics Progress, 2014, 51(6): 061002.