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作 者:杨康 YANG Kang(Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
机构地区:[1]昆明理工大学信息工程与自动化学院,云南昆明650500
出 处:《电视技术》2022年第4期7-10,共4页Video Engineering
摘 要:色球纤维是具有极高观测和科研价值的太阳纤维状结构。21世纪以来,高分辨率的观测设备在Hα波段谱线的帮助下得以细致地观察这种精细结构并以此推理相关物理机制。但是,即使在成像质量最高的Hα色球图像中,色球纤维也因为对比度不足、噪声影响等因素,存在轮廓模糊、人工识别困难等问题。为了解决上述问题,结合色球纤维的形态特点,提出结合各向异性扩散和自动化选参eLoG(eLongated Laplace of Gaussian)方法的色球纤维轮廓提取方法。该方法在保护色球纤维边缘的基础上消除噪声,并能显著增强色球纤维上的像素强度。最终结果表明,所提的方法可以提取出Hα图像中的清晰色球纤维轮廓,对提升Hα图像的科研价值有帮助作用。Chromosphere fiber is a solar fibrous structure with high observation and scientific research value.Since the 21st century,high-resolution observation equipment has been used with Hαband spectral lines make it possible that we can carefully observe this fine structure and infer the relevant physical mechanism.However,even in high-quality Hαimage,there are also some problems about the Chromosphere fibers,such as fuzzy contour and difficult manual recognition,because of the lack of contrast and the influence of noise.In order to solve the above problems,combined with the morphological characteristics of chromosphere fiber,a chromosphere fiber contour extraction method integrating anisotropic diffusion and automatic parameter selection eLongated Laplace of Gaussian(eLoG)is proposed.This method eliminates noise on the basis of protecting the edge of chromosphere fiber,and can significantly enhance the pixel intensity on chromosphere fiber.The final results show that this method can extract the clear Chromosphere fibers contour in Hαimage,which is helpful to improve the scientific research value of Hαimages.
分 类 号:TP311.5[自动化与计算机技术—计算机软件与理论]
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