A ground-based visible light cloud image recognition and processing method
A recognition processing, visible light technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as low cloud recognition rate, and achieve the effect of improving recognition rate, easy management, and simple structure
Active Publication Date: 2016-04-13
中国人民解放军理工大学气象学院
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[0005] Aiming at the problem of low cloud recognition rate in the prior art, the present invention provides a ground-based visible light cloud image recognition processing method with good recognition processing effect and easy implementation and management
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[0024] Such as figure 1 Shown, the specific embodiment method of the present invention comprises steps:
[0025] 1) Collect an image, and transform the original image from RGB space to grayscale space to obtain a grayscale image corresponding to the original image; the conversion of the image between RGB space and grayscale space can be realized using existing technologies.
[0026] 2). Perform adaptive Wiener filtering on the grayscale image obtained in step 1 to obtain a denoising image, and perform nonlinear grayscale transformation on the denoising image to obtain an enhanced image. Among them, the adaptive Wiener filter is an existing technology, which adjusts parameters according to the difference of local images, performs small smoothing operations on places with large local differences, and performs large smoothing operations on places with small local differences.
[0027] Such as figure 2 As shown, the specific process of the image enhancement process in the above...
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The invention discloses a ground-based visible cloud image recognition processing method which comprises the following steps of: acquiring a cloud image, performing preprocessing such as denoising, enhancing and the like on an input color image, and separating out a sky background and a cloud foreground by using the transparency based on a perceptual color space; then, extracting a transparency value of the cloud foreground image, and meanwhile, additionally taking textural features as distinguishing features among different cloud types; and finally, classifying the cloud type by using a neural network in conjunction with a cloud type feature database, and storing and displaying the corresponding feature and result. The method is suitable for ground-based all-sky visible cloud recognition processing work, can overcome the limitations in artificial visual judgment, and has a certain automatic discrimination function. Besides, the method is easy to implement, simple in structure and low in cost, and has a better identification and classification effect on common clouds; and especially under the condition that the requirement for the purity of the background sky is not high, the method disclosed by the invention has a better cloud-sky separation effect in comparison with the common threshold discrimination method.
Description
technical field [0001] The invention relates to the technical field of digital image processing, in particular to a method for identifying and processing ground-based visible light cloud images suitable for meteorological analysis at weather stations. Background technique [0002] Clouds are an important link in the hydrological cycle on Earth, and their interaction with ground radiation affects the energy balance at local and global scales. The radiation characteristics and distribution of different types of clouds are of great significance to the accuracy of weather forecast, global climate change and flight security. Due to the constant change of clouds, the observation of ground-based cloud types is generally carried out by human eyesight at home and abroad, and the automatic observation is still in the stage of exploration and research. Among them, cloud category identification processing based on digital image processing technology is the main method, which is widely ...
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IPC IPC(8): G06K9/00G06K9/46G06N3/02
Inventor 王敏周树道陈晓颖黄峰
Owner 中国人民解放军理工大学气象学院