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Rainfall particle phase identification method based on image processing

A precipitation particle and image processing technology, applied in the field of digital image recognition, can solve the problem of no phase distinction of precipitation particles

Active Publication Date: 2011-11-23
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0012] In the method disclosed above, it can only identify raindrops, without distinguishing the phase state of precipitation particles. For other phases of precipitation particles such as snowflakes, it can only be identified as raindrops, that is, this method has certain limitations.

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  • Rainfall particle phase identification method based on image processing
  • Rainfall particle phase identification method based on image processing
  • Rainfall particle phase identification method based on image processing

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Embodiment Construction

[0042] The present invention uses grayscale and shape information as the salient features for identifying the phase state of precipitation particles, and can effectively identify the phase state of precipitation particles and extract relevant precipitation information by combining image processing and pattern recognition methods to distinguish the type of precipitation weather phenomenon and process flow chart Such as figure 1 shown.

[0043] (1) The image acquisition step, respectively acquiring the precipitation image to be identified and the corresponding background image of the same size from the imaging device. The background image refers to the image taken by the imaging device after all the precipitation particles in the observation system are cleared according to certain conditions. figure 2 Shown is the precipitation image to be identified, image 3 shown is figure 2 The corresponding background image;

[0044] (2) Precipitation target detection is carried out o...

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Abstract

The invention provides a rainfall particle phase identification method based on image processing, belongs to digital image identification field and aims at extracting related rainfall information further to raise automation degree and precision of rainfall weather phenomenon observation. The invention is used for automatic discrimination of rainfall phase and rainfall information obtainment in rainfall weather phenomenon observation. The method comprises the following steps: (1) image obtainment; (2) rainfall particle object detection; (3) feature extraction; (4) rainfall particle phase identification; (5) rainfall information extraction. According to the invention, combined with image processing and mode identification methods, rainfall particle phase is effectively identified, rainfall weather phenomenon type is discriminated, and automation degree and precision of rainfall weather phenomenon observation is raised.

Description

technical field [0001] The invention belongs to the field of digital image recognition, and in particular relates to an image-based method for identifying the phase state of precipitation particles, which is used for automatically identifying the phase state of precipitation particles, and then extracting relevant precipitation information. Background technique [0002] Precipitation observation is an important part of weather phenomenon observation, and plays an important role in national economic construction services, such as flood control, drought resistance, disaster reduction, design of water conservancy projects, industrial and agricultural production, etc. has an important influence. [0003] A very important point in precipitation observation is to obtain the phase, shape, and scale information of precipitation particles in real time, estimate the intensity and amount of precipitation, identify the type of precipitation weather phenomenon, and provide accurate and t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66
Inventor 曹治国段西尧肖阳朱磊熊嶷张旋付强马舒庆李肖霞
Owner HUAZHONG UNIV OF SCI & TECH