A pearl classification method based on deep learning
A technology of deep learning and classification methods, applied in the field of image processing and pattern recognition, can solve the problem that it is not easy to extract the thread features of pearls
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[0037] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0038] refer to Figure 1 ~ Figure 3 , a pearl classification method based on deep learning, the steps are as follows:
[0039] 1) Collect pearl images as sample data, and each pearl contains 5 images, which are top view, left view, right view, rear view, and front view;
[0040] The collected images contain two types of pearl images, namely pearl images with thread and pearl images without thread.
[0041] 2) Adjust the collected pearl image to 150×150 pixels, and perform image preprocessing to remove the noise of the image;
[0042] Use bilateral filtering to remove the noise of the image. Since the collected image is a color image, it is necessary to perform bilateral filtering on the three color channels of R, G, and B respectively; the pearl image is recorded as I, and the current pixel is recorded as (x, y), then...
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