Raindrop detection algorithm based on stroboscopic photo
A detection algorithm, raindrop technology, applied in computing, computer parts, image data processing, etc., can solve the problems of low reliability and large calculation error, and achieve the effect of high test accuracy, high RGB value, and reliable test data.
Active Publication Date: 2021-12-07
中船鹏力(南京)大气海洋信息系统有限公司
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As a transparent object, raindrops have a great impact on the captured photos, background, light, dust and other environmental noise; as a high-speed moving target, raindrops are affected by wind speed, wind direction, rainfall, etc. The captured photos have great randomness; in the raindrop photos obtained by strobe photography, each raindrop will leave multiple images; the general image processing algorithm does not consider these complex situations at the same time, so the raindrop radius and raindrop fall The calculation error of parameters such as speed is large and the reliability is low
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[0067] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific preferred embodiments.
[0068] In the description of the present invention, it should be understood that the orientations or positional relationships indicated by the terms "left side", "right side", "upper", "lower" are based on the orientations or positional relationships shown in the accompanying drawings, and are only For the purpose of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, "first", "second" and the like do not represent components importance, and therefore should not be construed as limiting the invention. The specific dimensions used in this embodiment are only for illustrating the technical solution, and do not limit the protection scope of the present in...
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The invention discloses a raindrop detection algorithm based on stroboscopic photos. The raindrop detection algorithm comprises a raindrop detection algorithm and a spectrum analysis algorithm based on raindrop data. The raindrop detection algorithm comprises two steps of clutter filtering and image sharpening, and target detection and positioning analysis. Firstly, through clutter filtering and image sharpening, an original photo is processed into image data with a clear target and a simple data structure. Then, the coordinate position and the diameter of each raindrop in the image are calculated through methods of edge detection, positioning analysis and the like. The spectrum analysis algorithm comprises two steps of raindrop target association and statistical analysis. Firstly, a plurality of images of the same raindrop are classified into the same point data through correlation analysis, and then raindrop spectrum data are obtained through statistical analysis and clustering analysis of a large amount of raindrop data in the plurality of images. Therefore, the influence of background, illumination, dust and other environmental noise and the influence of wind speed, wind direction, rainfall and the like are solved, and raindrop diameter and speed detection data are accurate and reliable.
Description
technical field [0001] The invention relates to the technical field of meteorological monitoring, in particular to a raindrop detection algorithm based on stroboscopic photos. Background technique [0002] Raindrop spectrometer is a common meteorological monitoring equipment. The traditional raindrop spectrometer uses laser detection method, which has certain limitations. With the development and popularization of photographic equipment and image processing technology, the raindrop spectrometer based on image processing can obtain raindrop images more intuitively and accurately, and obtain efficient and accurate raindrop spectrum data through image processing and statistical methods. A raindrop spectrometer based on image processing uses stroboscopic photos as the basis for data collection and analysis. How to identify the raindrops in the photos and analyze and process the raindrop data through efficient and accurate image processing algorithms is the key to the determinati...
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IPC IPC(8): G06K9/00G06K9/20G06T5/00G06T5/20G06T7/13G06T7/62G06T7/73
CPCG06T5/20G06T7/13G06T7/62G06T7/73G06T2207/10004G06T2207/30192G06T5/73Y02A90/10
Inventor 张杰陆小虎刘淑徐喜东
Owner 中船鹏力(南京)大气海洋信息系统有限公司