Side-scan sonar target detection method based on characteristics of point aggregation

Abstract

The invention relates to the technical field of digital image processing, and specifically relates to a side-scan sonar target detection method based on the characteristics of point aggregation. The method comprises the following steps: preprocessing a side-scan sonar image; setting a first image grayscale initial threshold T; segmenting the side-scan sonar image based on the threshold T to get effective points; judging whether the number of the effective points is within an ideal calculation range N, executing step (5) if the number of the effective points is within the ideal calculation range N, and if the number of the effective points is not within the ideal calculation range N, increasing the threshold T at a speed of S to replace the original threshold, and re-executing the step (3); and getting effective points, and calculating the cumulative amount of each point. The invention provides an efficient method of segmenting a target in a side-scan sonar image. The method has a better segmentation effect for a side-scan sonar image which contains structural noise constituting sea bottom strong reflection points and contamination region noise produced by sea bottom reverberation. Through the method, aggregating points can be segmented out more effectively.

Description

technical field [0001] The invention relates to the technical field of digital image processing. In particular, it relates to a side-scan sonar target detection method utilizing point aggregation characteristics. Background technique [0002] Object detection refers to the operation of determining whether an object is present in a single image or a sequence of images and separating object regions of interest from background regions that are not of interest. It often uses the known prior knowledge to calculate the relevant feature quantities, and use these feature quantities to distinguish the target from the background. At present, underwater acoustic target detection technology is widely used in oil exploration, underwater terrain observation, deep-sea pipeline detection, underwater object salvage, marine fishery and other fields. In terms of military affairs, mine detection in shallow sea areas has become a major problem for navies of various countries. The sonar system...

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Problems solved by technology

[0007] 3. Irregular seabed or small objects such as rocks with more strong reflection of sound waves

[0009] The above problems can be more vividly transformed into two kinds of segmentation problems under high noise, one is point-like noise (structural noise) that constitutes strong reflection points on the seabed, and the other is seabed reverberation, which we call cloud-like noise (contaminationregion) here. noise), these two kinds of noise, the existing image enhancement algorithm still can't completely and effectively remove these two kinds of noise, so focus on the segmentation algorithm

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