Hull surface corrosion degree evaluation method based on image processing
An image processing and ship hull technology, which is applied in the field of image processing to improve the enhancement effect and accurately evaluate the degree of corrosion.
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Embodiment 1
[0059] Embodiment 1 of the method for evaluating the corrosion degree of ship hull surface based on image processing of the present invention is as follows: figure 1 As shown, the method includes:
[0060] S1. Acquire a surface image of the bottom of the hull. Specifically, an underwater camera is used to collect the surface image of the bottom of the hull.
[0061] S2. Since the surface image collected underwater is prone to blurring, it is necessary to enhance the surface image, specifically, downsample the surface image, specifically, use the image pyramid to downsample the surface image to obtain the Gaussian pyramid and the Lapp Laplacian pyramid, in which, in order to be able to restore images with higher resolution, the Laplacian pyramid is obtained according to the information lost in the downsampling process.
[0062] Specifically, the formula for calculating the Laplacian image of each layer of the Laplacian pyramid:
[0063]
[0064] In the formula, Represent...
Embodiment 2
[0104] like figure 2 As shown, this embodiment is based on steps S1-S4 of Embodiment 1, and on the basis of step S4 of Embodiment 1, in order to reduce data redundancy due to excessive layers, thereby reducing the amount of calculation, the present invention also includes : S41, calculate the enhancement effect of the final enhanced image corresponding to each layer of Gaussian image according to the brightness value of each pixel in the final enhanced image corresponding to each layer of Gaussian image; The number of layers calculates the sampling complexity of the surface image; S43, determines the optimal number of layers of the Gaussian pyramid according to the sampling complexity corresponding to the surface image and the enhancement effect of the final enhanced image of the corresponding Gaussian image of each layer; S44, according to the optimal layer Obtain the best Gaussian pyramid of the surface image, that is, record the Gaussian pyramid with the best number of lay...
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