A method and device for image recognition

Abstract

The embodiment of the present invention discloses an image recognition method and device. The method includes: generating a hue co-occurrence matrix based on the original image; generating two mutually orthogonal hue co-occurrence matrix pairs based on the hue co-occurrence matrix; The color feature of the original image is acquired by matrix, and the texture feature of the original image is acquired based on the hue co-occurrence matrix pair; the original image is classified and identified according to the color feature and the texture feature. By obtaining the hue co-occurrence matrix of the original image, and then extracting the color features and texture features of the original image based on the hue co-occurrence matrix, and using the color features and texture features to classify and identify the image, the color features and texture features contain the image The spatial feature information and anti-rotation characteristics make the image recognition accuracy high.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an image recognition method and device. Background technique [0002] With the development of image processing technology, more and more fields begin to use image processing technology. For example, in the industrial field, image recognition industrial components are used to replace the previous method of manually identifying industrial components. [0003] Clothing recognition refers to the use of image processing technology to identify the color and pattern of clothing, so that the color and style of clothing can be further identified, and it can be combined with face recognition to improve the accuracy of face recognition. At present, using image technology to When the image is recognized, the texture feature of the image is often extracted using the gray level co-occurrence matrix, and then the image is classified and recognized based on this feature, but the feature ex...

AI Technical Summary

Problems solved by technology

[0003] Clothing recognition refers to the use of image processing technology to identify the color and pattern of clothing, so that the color and style of clothing can be further identified, and it can be combined with face recognition to improve the accuracy of face recognition. At present, using image technology to When recognizing an image, the gray-level co-occurrence matrix is ​​often used to extract the texture features of the image, and then the image is classified and recognized based on this feature, but the features extracted based on the gray-level co-occurrence matrix do not include the color features of the image, so that based on this single texture The image recognition accuracy of the features is low

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