Image processing method based on machine learning

Abstract

The invention discloses an image processing method based on machine learning. The method comprises the following steps: extracting features of a training image to be processed; receiving an image processing method corresponding to the training image features, wherein the training image processing method is obtained through input; modeling by taking the features of the training image as input and taking an image processing method corresponding to the training image as output to obtain an image processing model; receiving a target image input by a user, extracting features of the target image, and inputting the features of the target image into the trained image processing model to obtain an image processing method corresponding to the target image; performing image processing on the targetimage by using an image processing method of the target image; and outputting the pattern after image processing. According to the invention, a user inputs the image, the image processing method of the image is obtained in the image processing model by identifying the characteristics of the image, and finally the extracted pattern is obtained.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image processing method based on machine learning. Background technique [0002] In the image processing technology, one of them is to extract the specific pattern in the image. Usually, when extracting, there will be specific and suitable extraction methods for images with different characteristics, so that the pattern can be completely undistorted. are extracted, but when the user prepares to process the image, the characteristics of the image cannot be seen intuitively from the appearance of the image, and if it is placed in an image processor with a single processing function, the obtained pattern cannot be guaranteed Quality, that is, the integrity and distortion-free pattern cannot be guaranteed, but if it is placed in an image processor with multiple processing functions, the user needs to choose an appropriate image processing method according to the characteristics of ...

AI Technical Summary

Problems solved by technology

[0002] In the image processing technology, one of them is to extract the specific pattern in the image. Usually, when extracting, there will be specific and suitable extraction methods for images with different characteristics, so that the pattern can be completely undistorted. are extracted, but when the user prepares to process the image, the characteristics of the image cannot be seen intuitively from the appearance of the image, and if it is placed in an image processor with a single processing function, the obtained pattern cannot be guaranteed Quality, that is, the integrity and distortion-free pattern cannot be guaranteed, but if it is placed in an image processor with multiple processing functions, the user needs to choose an appropriate image processing method according to the characteristics of the image itself, but if the user does not have much understanding of the image , it is easy to choose the wrong image processing method for the image, so it is very easy to make the obtained pattern cannot guarantee the quality, that is, the integrity and distortion-free pattern cannot be guaranteed

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