The Research of Satellite Cloud Image Recognition Base on Variational Method and Texture Feature Analysis

机译：变分法和纹理特征分析卫星云图像识别基础的研究

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Recently, the development of satellite cloud image processing technology has become very quick; the research aspects concentrate on judge the cloud type and classify the cloud mainly. These image processing methods relate to the subject category like image processing and pattern recognition etc; it has become one of the fields of most quickly development in the research of satellite image processing technology. In satellite cloud image, texture is an very important feature, since satellite cloud image has clear texture structure, the computer texture analysis provide perfect future for study and analyze all kinds of satellite cloud image. Variational method is a new image segmentation method development in recent years, which is adapt to modeling and extract deformable contour of random shape. In satellite cloud image, recognize the target object has great application meaning. In this paper, using computer image texture analysis technology combine with Variational theory, extract and analyze the texture feature of familiar cloud and clear sky in satellite cloud image, adopt co-occurrence matrix base on statistic feature, compute the texture parameter like energy, entropy, contrast, correlation and local steady, at last, carry through the automatic recognition experiment which using the active contour model base on Variational theory, and acquire better effect of recognition to satellite cloud image.

机译：最近，卫星云图像处理技术的发展变得非常快;研究方面专注于判断云类型并主要分类云。这些图像处理方法涉及图像处理和模式识别等主题类别;它已成为卫星图像处理技术研究中最快速发展的领域之一。在卫星云图像中，纹理是一个非常重要的功能，因为卫星云图像具有清晰的纹理结构，计算机纹理分析为研究和分析各种卫星云图像提供了完美的未来。变分方法是近年来的一种新的图像分割方法开发，其适应建模和提取随机形状的可变形轮廓。在卫星云图像中，识别目标对象具有很大的应用意义。在本文中，使用计算机图像纹理分析技术与变分理论，提取和分析熟悉云图像的纹理特征，在卫星云图像中透明的天空，采用统计特征的共生矩阵基础，计算纹理参数，如能量，熵最后，对比度，相关性和局部稳定，终于携带自动识别实验，该实验在不同的变分理论上使用主动轮廓模型基础，并获得对卫星云图像的更好识别效果。

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《IEEE Conference on Industrial Electronics and Applications》|2007年||共5页
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作者
Wei SHANGGUAN; Yanling HAO; Zhizhong LU; Peng WU;
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中图分类 TN-53;
关键词
Satellite cloud image; Variational method; Texture feature analysis; Image segmentation;

机译：卫星云图像;变分方法;纹理特征分析;图像分割;

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1. 基于图像识别技术的膏体微观结构纹理特征分析 [J] . 尹升华, 邵亚建, 吴爱祥, 中南大学学报（英文版） . 2018,第010期
2. TEXTURE ANALYSIS FOR RECOGNITION OF SATELLITE CLOUD IMAGES USING ORTHOGONAL POLYNOMIAL MODEL [J] . A.SUDHA, Dr.V.VAITHIYANATHAN International Journal of Engineering and Technology . 2013,第1期

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3. Multi-class US traffic signs 3D recognition and localization via image-based point cloud model using color candidate extraction and texture-based recognition [J] . Vahid Balali, Arash Jahangiri, Sahar Ghanipoor Machiani Advanced engineering informatics . 2017,第apra期

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4. A wavelet-based method for multifractal image analysis. III. Applications to high-resolution satellite images of cloud structure [J] . S. G. Roux, A. Arneodo, N. Decoster The European physical journal, B. Condensed matter physics . 2000,第4期

机译：基于小波的多重分形图像分析方法。三，云结构高分辨率卫星图像的应用
5. The Research of Satellite Cloud Image Recognition Base on Variational Method and Texture Feature Analysis [C] . Shangguan, Wei, Hao, . 2007

机译：基于变分法和纹理特征分析的卫星云图像识别研究
6. Application of pattern recognition and adaptive DSP methods for spatio-temporal analysis of satellite based hydrological datasets. [D] . Turlapaty, Anish Chand. 2010

机译：模式识别和自适应DSP方法在基于卫星的水文数据集的时空分析中的应用。
7. Skin Disease Recognition Method Based on Image Color and Texture Features [O] . Li-sheng Wei, Quan Gan, Tao Ji 2018

机译：基于图像颜色和纹理特征的皮肤疾病识别方法
8. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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9. Separation of Cloud/No-Cloud Regions in Satellite Imagery Using a Variation ofHierarchical Clustering Analysis [R] . Martin, C. J. 1991

机译：利用层次聚类分析的方法分离卫星影像中的云/无云区域

The Research of Satellite Cloud Image Recognition Base on Variational Method and Texture Feature Analysis

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