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Stepped mean filtering method aimed at imaging data of multibeam forward-looking sonars

A technology of imaging data and forward-looking sonar, which is applied in the field of image processing, can solve problems such as poor denoising effect of multi-beam forward-looking sonar images, and achieve the goals of avoiding poor effect, better denoising effect, and improving effect Effect

Active Publication Date: 2013-01-09
HOHAI UNIV CHANGZHOU
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AI Technical Summary

Problems solved by technology

[0007] For the shortcomings of traditional mean filtering that is not effective in denoising multi-beam forward-looking sonar images, the present invention provides a step-shaped mean filtering method for multi-beam forward-looking sonar imaging data

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  • Stepped mean filtering method aimed at imaging data of multibeam forward-looking sonars
  • Stepped mean filtering method aimed at imaging data of multibeam forward-looking sonars
  • Stepped mean filtering method aimed at imaging data of multibeam forward-looking sonars

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Embodiment Construction

[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0034] The flow chart of denoising sonar images by adopting the step-shaped mean filtering method for multi-beam forward-looking sonar imaging data of the present invention is as follows: figure 1 As shown, the processing steps are as follows:

[0035] (1) Collect the imaging data of the single-frame sonar image generated by the multi-beam forward-looking sonar system after underwater scanning.

[0036](2) Take the number of sonar beams as the column and the number of echo points on a single sonar beam as the row to generate an empty matrix, and place the imaging data obtained in step (1) in the matrix correspondingly, each The matrix element stores an imaging data corresponding to a sonar echo point.

[0037] (3) In view of the traditional mean filtering idea, a ladder-shaped mask model is established according to the characteristics of multi-beam forward-...

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Abstract

The invention discloses a stepped mean filtering method aimed at the imaging data of multibeam forward-looking sonars, which belongs to the technical field of image processing. The imaging data of a single frame of sonar image are acquired, an imaging data matrix is generated, a stepped mask model is constructed, a mask coefficient is calculated, a data value corresponding to each point in the mask is determined, data convolution is carried out, stepped mean filtering is fulfilled, and the filtered imaging data matrix is visualized, so that a filtered multibeam forward-looking sonar image is obtained. Aiming at the imaging characteristics of a multibeam forward-looking sonar, the method provided by the invention can better inhibit noise, so that the filtered image has a better visual effect.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a sonar image filtering method, in particular to a method for denoising multi-beam forward-looking sonar images by referring to a smooth linear filter in optical image processing. Background technique [0002] During the process of digital acquisition and transmission, images are often affected by the interference of imaging equipment and external environmental noise, and contain various noises. During the use of digital images, it is often necessary to filter them first to reduce noise. The spatial domain filtering of the image is completed in the image space with the help of the filter mask to perform neighborhood operations. The main idea is: first determine the filter mask, perform filtering operations on the pixels to be processed in the mask, and then point-by-point in the image to be processed Move the mask accordingly, and repeat the above operations until the ter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 李庆武曹晔锋霍冠英周妍马国翠
Owner HOHAI UNIV CHANGZHOU
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