Underwater bubble image feature segmentation and extraction method

Abstract

The invention discloses an underwater bubble image feature segmentation and extraction method, and the method comprises the steps: firstly obtaining the central frequency of an image, and guaranteeingthat a Log Gabor filter bank covers the main frequency components of the image, and can extract the edge information of an input image more effectively; then, performing edge detection on the image,simplifying the edge detection of the image into local energy detection of the image, obtaining extreme values globally through normalization processing of energy of a local area of the image, and preventing respective solving of the local extreme values so that the influence of illumination intensity on the edge detection process of the image is small; removing short and small boundaries, dividing the image into simple geometric structures, and performing region growth by taking pixels around the divided boundaries as seed points; and finally, filling small holes of the image, and completingfeature segmentation and extraction of bubbles in the underwater image. By adopting the method provided by the invention, the bubble contour features in the underwater image can be accurately extracted, so that the number of bubbles in water is counted and calculated, and the real-time monitoring of seawater bubbles is supported.

Description

technical field [0001] The invention relates to a feature segmentation and extraction method of an underwater bubble image, belonging to the technical field of underwater imaging. Background technique [0002] The analysis of bubble concentration and particle size distribution is of great significance in marine science. It plays a pivotal role in ocean remote sensing, ocean acoustics, ocean dynamics, ocean chemistry, marine biology, and marine meteorology, and affects many ocean physics. process evolution. Photography / camera is the most direct method of air bubble measurement. At present, many universities, scientific research institutes, and high-tech enterprises in the field of marine exploration are extracting features from underwater air bubble images in order to complete the real-time monitoring task of underwater air bubbles. A reasonable and effective method has not been found, and the bubble contour features in the underwater image cannot be accurately extracted, an...

AI Technical Summary

Problems solved by technology

Photography / camera is the most direct method of air bubble measurement. At present, many universities, scientific research institutes, and high-tech enterprises in the field of marine exploration are extracting features from underwater air bubble images in order to complete the real-time monitoring task of underwater air bubbles. A reasonable and effective method has not been found, and the bubble contour features in the underwater image cannot be accurately extracted, and the number of bubbles in the water cannot be counted, and the real-time monitoring of seawater bubbles cannot be achieved.

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