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  本文關(guān)鍵詞：基于NVST觀測的米粒識別與形態(tài)特征分析的研究　出處：《昆明理工大學》2016年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 圖像識別 相位一致性技術(shù) 形態(tài)學濾波

【摘要】：米粒組織是太陽表層對流運動所產(chǎn)生的一種形態(tài)特征。研究米粒的形態(tài)特征和演化過程能幫助我們更好地了解太陽表層對流運動的產(chǎn)生機制以及這種機制和太陽磁場活動之間的關(guān)系。因此,尋找一個精準的識別方法對于研究這種機制和關(guān)系是十分迫切的。然而,由于在米粒圖像中米粒組織的邊緣對比度低、模糊等問題,使得基于強度或梯度的米粒特征識別方法面臨很大的困難。為了解決上述問題,本文運用相位一致性技術(shù)來對米粒結(jié)構(gòu)特征進行識別和提取。本文選用中國科學院云南天文臺撫仙湖的新一代太陽真空望遠鏡(New Vaccum Sloar Telescope,簡稱NVST)的2組高分辨活動區(qū)觀測米粒組織圖像來闡述算法的識別過程。米粒的識別過程包含三步：(1)獲得相位一致信息圖；(2)獲得二值圖；(3)通過形態(tài)學濾波提取米粒結(jié)構(gòu)。本文選取了3個目前已存在的米粒識別算法(閡值技術(shù)、標記分水嶺和高斯拉普拉斯算子)同本文的識別方法做了對比實驗?zāi)康氖球炞C所提算法的準確性和有效性。實驗結(jié)果表明所提算法能夠有效地提取那些低對比度的米粒特征。同時為了檢驗算法對閾值的響應(yīng)程度,分別選取了3組閾值來檢驗不同閾值情況下的差異性。結(jié)果證明所提算法對閾值響應(yīng)不敏感。利用本文所提方法,數(shù)據(jù)A和數(shù)據(jù)B分別識別出165694和108279米粒結(jié)構(gòu)。首先獲得每個米粒的直徑,根據(jù)米粒直徑的分布情況將米粒分為了兩類：直徑大于780km的regular米粒和小于780km的mini米粒。并且根據(jù)分類結(jié)果分析了米粒的其他幾個特征：米粒的直徑、強度、形狀以及分形維數(shù)進行統(tǒng)計。其目的就是進一步驗證提算法獲得統(tǒng)計結(jié)果的準確性,從統(tǒng)計結(jié)果來看,米粒的特征統(tǒng)計結(jié)果很好地符合了已有文獻的結(jié)論,這也進一步驗證所提算法的準確性與魯棒性,能夠用于進一步的米粒演化以及物理機制的科學研究。
[Abstract]:Grain tissue is a morphological characteristic of the convective movement of the surface of the sun. Studying the morphological characteristics and evolution process of rice grains can help us to better understand the mechanism of solar surface convection and the relationship between this mechanism and solar magnetic field activities. Therefore, it is very urgent to find a precise method of recognition for the study of this mechanism and relationship. However, because of the low contrast and blurred edge of rice grain in rice grain image, the feature recognition method based on intensity or gradient is very difficult. In order to solve the above problems, this paper uses phase consistency technology to identify and extract the structure characteristics of rice grain. A new generation of solar vacuum telescope the China Academy at Yunnan Observatory in the Fuxian Lake (New Vaccum Sloar Telescope, referred to as NVST) of the 2 groups of high resolution observation activities granulation images to illustrate the recognition algorithm. The recognition process of rice grain consists of three steps: (1) obtaining the phase consistent information map; (2) obtaining the two value diagram; (3) the grain structure is extracted by morphological filtering. This paper selects 3 existing rice identification algorithm (threshold technology, Gauss Laplasse and mark watershed operator) with the identification method for experiment is designed to validate the proposed algorithm is accurate and effective. The experimental results show that the proposed algorithm can effectively extract the characteristics of rice grains with low contrast. At the same time, in order to test the degree of response of the algorithm to the threshold, 3 sets of thresholds are selected to test the difference between different threshold conditions. The results show that the proposed algorithm is not sensitive to the threshold response. Using the method proposed in this paper, data A and data B identify the structure of 165694 and 108279 meters respectively. First, the diameter of each grain was obtained. According to the distribution of the grain diameter, the rice grains were divided into two groups: the regular grains larger than 780km and the mini grains less than 780km. The other characteristics of rice grain are analyzed according to the classification results: the diameter, strength, shape and fractal dimension of rice grain are counted. Its purpose is to further verify the accuracy of the proposed algorithm to obtain statistical results, statistically, the characteristics of the statistical results of rice is in good agreement with the results of previous literature, which further verified the accuracy and robustness of the algorithm, can be used for further scientific research and the evolution of the physical mechanism of rice.
【學位授予單位】：昆明理工大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：P111.41;P182.2

【相似文獻】

相關(guān)碩士學位論文 前2條

1 韓翠翠;基于NVST觀測的米粒識別與形態(tài)特征分析的研究[D];昆明理工大學;2016年

2 陳宇超;NVST多通道高分辨觀測系統(tǒng)軟件設(shè)計和實現(xiàn)[D];中國科學院研究生院(云南天文臺);2015年

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本文編號：1342578