A supercavity image enhancement method

An image enhancement and supercavitation technology, applied in image enhancement, image analysis, image data processing, etc., to achieve the effect of clear cavitation boundary, obvious color difference, and good edge effect.

Inactive Publication Date: 2019-03-01
HARBIN ENG UNIV
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Problems solved by technology

[0004] Therefore, it is very important to use the image processing method to obtain the accurate shape of the supercavitation in the image of the supercavitation, and to eliminate the interference of complex environmental factors on the cavitation. There is no relatively mature measurement method at home and abroad at this stage.

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  • A supercavity image enhancement method
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Embodiment Construction

[0017] The specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0018] like figure 1 As shown, the present invention provides a supercavitation image enhancement and edge detection method, comprising the following steps:

[0019] 1. Convert the supercavitation color image to a grayscale image and denoise it.

[0020] 1) Perform image grayscale processing on the supercavitation image in the Matlab environment, and obtain its grayscale distribution histogram. Use the Gaussian smoothing median filter method to denoise the grayscale image, use a window with a non-even number of pixels to move repeatedly in the image, and use the window average method to calculate the grayscale value of the center point of the window in each sliding Replace it with the gray mean value of all pixels in the position of the window at this time.

[0021] Process each pixel (x, y) of the processed image to obtain a neighborhood R, resp...

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Abstract

The invention relates to a supercavity image enhancement method, which comprises the following steps of: 1, carrying out graying processing on a supercavity color image to obtain a gray level distribution histogram of the supercavity image, and denoising the gray level image by utilizing a Gaussian smoothing median filtering method; 2, histogram equalization processing is carried out on the de-noised gray level distribution histogram in the step one; 3, judging whether the acquisition of the navigation body in the vacuoles on the edges of the vacuoles has interference or not, if the acquisition of the navigation body in the vacuoles has interference, corroding the interference in the vacuoles by using a morphological expansion corrosion algorithm, and if the acquisition of the navigation body in the vacuoles has no interference, executing step 4; 4, performing Roots algorithm edge detection on the processed image, and extracting the edge contour of the vacuoles; and 5, carrying out data fitting by utilizing the coordinate data extracted from the edge curve, finishing mathematical modeling of the supercavity edge, and obtaining parameter data of the cavity shape. According to the method, the cavitation interference caused by complex environmental factors can be eliminated, and the supercavitation shape can be accurately obtained.

Description

technical field [0001] The invention relates to an image enhancement method, in particular to a supercavitation image enhancement method, which belongs to the field of image enhancement and edge detection. Background technique [0002] The development goal of image enhancement in the new era is to realize real-time image processing, use digital holographic technology to make the image to be processed contain complete and rich information, and automatically generate, identify, transform and process the image. Image enhancement techniques can be divided into two categories: one is spatial domain enhancement, and the other is frequency domain enhancement. Spatial domain methods mainly include image grayscale transformation, histogram correction, image smoothing, and image sharpening; frequency domain image enhancement mainly includes low-pass filters, Gaussian low-pass filters, and various frequency domain filters. The method based on local transformation can enhance the speci...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/30G06T5/40G06T7/13
CPCG06T5/002G06T5/30G06T5/40G06T2207/20032G06T7/13
Inventor 赵新华杜泽帅王越叶秀芬杨浩东
Owner HARBIN ENG UNIV
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