A method for recognizing and estimating water level of hydrological ruler based on image analysis

Abstract

The invention discloses a method for identifying and estimating the water level of a hydrological ruler based on image analysis, which comprises the following steps: firstly, preliminary positioning of the hydrological ruler is realized through an HSV color space, and then an adaptive component map is constructed to realize accurate positioning of the hydrological ruler; The sample is expanded bydata enhancement technology, and the character segmentation is realized by fuzzy C clustering method for the positioned hydrological ruler image, then the training data set of convolution neural network is constructed and the whole character is recognized. The pixel heights of a plurality of complete characters E are calculated sequentially, and the mapping relationship between the pixel heights and the actual heights in the image is established based on the quadratic equation, and then the actual heights of the incomplete characters E are calculated. The invention can estimate the water depthby recognizing an image containing a hydrographic ruler, and is suitable for being integrated at a terminal, such as a front end of a camera, a camera and the like, and automatically estimating the water level of the water ruler.

Description

technical field [0001] The invention relates to automatic measurement of water depth, belongs to image-based measurement methods, and belongs to the field of automatic measurement of water depth, in particular to a method for identifying and estimating water levels of hydrometers based on image analysis. Background technique [0002] As a discipline that affects people's livelihood and economic construction, hydrological monitoring establishes hydrological stations near key water areas to measure water level, flow, and flow velocity. Provide decision support data for flood prevention and other aspects. The traditional monitoring method is that surveyors read the hydrometer and record the water level. With the rapid development of information technology, more and more automatic measuring instruments are used for hydrological monitoring, which improves the measurement precision and accuracy while saving labor costs. However, the automatic measurement sensor is easily affecte...

AI Technical Summary

Problems solved by technology

However, the automatic measurement sensor is easily affected by the environment or the instrument is damaged, which will affect the measurement accuracy. Non-contact measurement methods represented by infrared measurement and ultrasonic measurement require regular calibration and maintenance. Therefore, in addition to using sensors to measure water levels in hydrological stations, they also Can use traditional hydrometer to measure water level for comparison and calibration of water level sensors such as electronic hydrometer

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