Free liquid level identification and extraction method of watershed algorithm based on Gaussian filtering

Abstract

The invention discloses a free liquid level identification and extraction method of a watershed algorithm based on Gaussian filtering, belongs to the technical field of image processing, and is used for solving the technical problem of difficulty in identifying and extracting a free liquid level of an existing liquid level image. The method comprises the following steps: (1) collecting a liquid level picture, and converting the picture into a binary image through gray processing; and (2) carrying out convolution processing on the image after gray processing by using Gaussian difference filtering, highlighting the edge with the large gradient in the image gray value, weakening the noise, weakening the edge with the small gradient, and achieving the purpose of highlighting the edge of the free liquid level; (3) performing watershed segmentation on a gradient image formed after Gaussian differential filtering, and identifying and extracting a free liquid level; and (4) superposing the extracted free liquid level back to the liquid level image, and checking the segmentation effect. The method can accurately identify and extract the free liquid level of the image, and can be applied tothe technical field of physical model experiments of storage cabin carrying equipment in aerospace, transportation and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a free liquid surface recognition and extraction method based on a watershed algorithm of Gaussian filtering, which can be used in the technical fields of aerospace, transportation and the like. Background technique [0002] With the emergence of optical image-based measurement technology, the non-contact measurement of free liquid surface through image acquisition equipment has gradually matured. Post-processing the collected pictures is the key to extracting free liquid surface by non-contact measurement technology. At present, the most commonly used free liquid surface image segmentation algorithms include: threshold-based segmentation algorithm and edge-based segmentation algorithm. [0003] Threshold segmentation algorithm for liquid surface image processing The idea of ​​the threshold method is to calculate one or more gray thresholds based on the gray feature of t...

AI Technical Summary

Problems solved by technology

The biggest disadvantage of this type of method is that it is sensitive to noise. Even if the amplitude of the noise is small, when the frequency is large, the amplitude of the first and second derivatives of the noise will be relatively large, which will cause false detection. As a result, in many cases it is necessary to combine the use of filters

Images