| 3种阈值方法在闪电通道图像识别中的应用 |
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| 引用本文： | 杨欣怡,吕伟涛,杨 俊,张 舸,马 颖,姚 雯,李清勇.3种阈值方法在闪电通道图像识别中的应用[J].应用气象学报,2014,25(4):427-435. |
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| 作者姓名： | 杨欣怡 吕伟涛 杨 俊 张 舸 马 颖 姚 雯 李清勇 |
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| 作者单位： | 1.成都信息工程学院，成都 610225 |
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| 基金项目： | 国家自然科学基金项目（41075003，41105121），中国气象科学研究院基本科研业务费专项（2013Z006） |
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| 摘 要： | 该文实现了3种常见的阈值算法在闪电通道识别中的应用。针对某些闪电通道图像对比度较低的特点，首先对原始图像去除背景光照不均的影响并进行图像增强，再根据所处理的闪电通道图像的具体情况，选择全局自适应阈值法、局部自适应阈值法或基于Otsu自适应阈值的Canny算子对增强后的图像进行边缘检测，进而对闪电通道进行识别。对所提取到的闪电通道进行形态学和细化处理，最终提取到由连续的像素点序列表示的闪电通道。针对数字图像中闪电通道背景的不同特点，文中提到的3种阈值方法能够有针对性地对不同图像进行通道检测，在保证准确获得清晰边缘信息的同时，较好地兼顾了对弱边缘信息的提取，有效保证了对闪电通道的识别效果。
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| 关 键 词： | 闪电图像 通道识别 自适应阈值 局部阈值 Canny算子 |
| 收稿时间： | 2013-11-06 |
Applications of 3 Threshold Methods to the Lightning Channel Image Recognition |
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| Institution: | 1.Chengdu University of Information Technology, Chengdu 6102252.Laboratory of Lightning Physics and Protection Engineering, State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 1000813.Beijing Jiaotong University, Beijing 100044 |
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| Abstract: | General digital cameras, camcorders as well as the BOYS camera specially developed for the lightning observation, are all important tools for lightning research. They are used to obtain the basic data for understanding geometry features of channels and main development processes of lightning. For a long time, extracting lightning channel coordinates from digital images is based on manual processing methods with the relatively low efficiency. With the development of the photoelectric techniques, more and more advanced optical devices are used in lightning observation, such as high-speed cameras and the Automatic Lightning Processing Feature Observation System (ALPS), and data obtained become much richer. How to automatically process these data and improve the efficiency of data extraction and analysis is an urgent need to be addressed.Considering the complexity of lightning discharges and various characteristics of the lightning channel, only one algorithm is not enough to obtain a satisfying recognition result in all situations. Therefore, 3 common threshold methods are applied jointly in the lightning channel recognition. Firstly, the impact of the uneven illumination is eliminated by subtracting the background and the contrast of the image is enhanced. Secondly, global adaptive threshold method, local adaptive threshold method or adaptive Canny operator method is applied for edge detection. And then, morphological and thinning processes are carried out to get the lightning channel represented by the continuous sequence of pixels. Considering different characteristics of the lightning channel digital image, selecting appropriate algorithm can ensure getting a clear edge information even including weak edges, guaranteeing a good recognition effect finally.Through experiments, it can be concluded that for the lightning channel with simple structure and relatively uniform brightness, all algorithms mentioned above can get a good recognition result, among which the global adaptive threshold method is simpler and more efficient. Local adaptive threshold method can calculate the threshold for different images universally. And for the low-contrast images with a smooth background, using adaptive Canny operator method can achieve a satisfactory recognition result. |
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| Keywords: | lightning image channel identifying adaptive threshold local adaptive threshold Canny operator |
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