Raindrop identifying method

Abstract

The invention provides a raindrop identifying method, belongs to the field of digital image identification, and aims to automatically identify a raindrop target in the raindrop image and extract related raindrop information so as to improve the automation and precision of raining weather phenomenon observation. The method is applied to automatic observation and acquisition of a raindrop spectrum in the raining weather phenomenon observation. The method comprises the following steps in sequence: 1, image acquisition; 2, image pretreatment; 3, image differentiation; 4, extraction of the edge gradient image; 5, binarization of the edge gradient image; 6, image morphologic treatment; and 7, extraction of the raindrop information. In the method of the invention, the anisotropic diffusion smoothing filter is used as a method for the image pretreatment, the edge gradient information is used as effective characteristics of the raindrop target, an image morphologic method is also utilized to effectively identify the raindrop target and extract the related raindrop information, and thus the automaticity and the precision on the raining weather phenomenon observation can be improved.

Description

technical field The invention belongs to the field of digital image recognition, and in particular relates to a raindrop recognition method based on edge gradients, which is used for automatically recognizing raindrop targets in a raindrop image and extracting relevant raindrop information. Background technique Rainfall 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. A very important point in rainfall observation is to extract the raindrop spectrum corresponding to the rainfall, and then use it to analyze rainfall characteristics such as rainfall amount, rainfall intensity, rainfall type, and rainfall microstructure. The raindrop spectrum refers to the number of raindrops with a diameter of D~D+Δd in a unit volu...

AI Technical Summary

Problems solved by technology

Because the raindrop image is affected by dust, light, the texture of the imaging rain-bearing glass sheet or the camera when it is taken in the open air, the raindrop image itself contains certain noise, which will adversely affect the raindrop recognition.

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