Wavelet-image-decomposition-based denoising method for periodic noises of side-scanning sonar power supply
A side-scan sonar and periodic technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of different imaging environments and cannot be directly used, and achieve the effect of noise removal and denoising effect.
Inactive Publication Date: 2016-07-20
HARBIN ENG UNIV
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The imaging mechanism and imaging environment of sonar images and traditional optical images are different, and the latter method cannot be used directly
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[0039] The present invention uses the wavelet decomposition method to remove the interference noise of the side-scan sonar power supply, combining figure 1 , the specific implementation steps of the present invention mainly include:
[0040] (1) convert the original image into a double-precision image;
[0041] (2) Carry out wavelet transform to the double-precision image to obtain decomposition coefficients;
[0042] (3) Determine its horizontal decomposition coefficient to the image after wavelet transformation, find out the position of the pixel point within the threshold (threshold is determined by the specific situation of the image pixel distribution) range and mark it with an asterisk, and superimpose it in the double-precision image;
[0043] (4) Select certain structural elements to perform morphological transformation on the image marked with an asterisk, including closing operation and expansion operation;
[0044] (5) Carry out coordinate transformation on the mo...
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The invention provides a wavelet-image-decomposition-based denoising method for periodic noises of a side-scanning sonar power supply. Wavelet conversion is carried out a noise-included image to obtain a wavelet decomposition coefficient; a noise point position is screened by using a threshold value of the decomposition coefficient; after morphology and spatial alternation correction is carried out on the screened position, an adjacent point pixel value is used for replacing a pixel value of the position, other points are determined as non-noise points and the pixel values does not change, so that the wavelet decomposition image denoising is completed. For the periodic stripe noises, compared with the conventional denoising methods like average filtering and median filtering, the provided method has the outstanding advantages in terms of a denoising effect and target area definition guaranteeing; and the denoising effect is obvious. Meanwhile, the parts of interest in an original image is kept well, wherein the parts include a target area, a contour, and a texture and the like, so that the good foundation of subsequent feature extraction and image identification is laid. The effect is ideal and the practicability is high.
Description
technical field [0001] The invention relates to a digital image processing method. Specifically, it is an algorithm for removing noise from sonar images using wavelet decomposition method. Background technique [0002] Sonar systems have been widely used in various underwater equipment and are the main means for them to obtain target information. The sonar image is the visual information of the target echo. Due to the interference of the side-scan sonar power supply, there are periodic stripe noises in the sonar image, which brings difficulties to the follow-up analysis work. Therefore, effective noise removal becomes an accurate acquisition of information. necessary work. The imaging mechanism and imaging environment of sonar image and traditional optical image are different, and the latter method cannot be used directly. [0003] Median filter, which is a commonly used nonlinear smoothing filter, its basic principle is to replace the value of a point in a digital image ...
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IPC IPC(8): G06T5/00
CPCG06T3/40G06T5/30G06T2207/20221G06T2207/20064G06T2207/20036G06T5/70
Inventor 卞红雨陈奕名柳旭徐扬
Owner HARBIN ENG UNIV