Image-based object classification method and system and electronic device

An object classification and object technology, applied in the field of image recognition, can solve the problem of low classification accuracy, achieve the effect of improving efficiency, reducing the amount of training, and improving classification efficiency
CN110309832AInactive Publication Date: 2019-10-08创新奇智(成都)科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
创新奇智(成都)科技有限公司
Publication Date
2019-10-08
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides an object classification method based on an image. The method comprises the steps of obtaining a to-be-detected image with at least one to-be-classified object and the background, separating the to-be-classified object in the to-be-detected image from the background, extracting at least one feature of the to-be-classified object under multiple scales, performing channel superposition on the at least one feature, obtaining at least two channel superposition images, combining the at least two channel superposition images through the matrix outer product operation, obtaining a feature enhancement graph of the at least one to-be-classified object, classifying the feature enhanced graphs of the at least one to-be-classified object to obtain the classification result, so that the to-be-classified object is separated from the background, the classification efficiency of the to-be-classified objects in the subsequent steps is improved, the recognition and classificationaccuracy is improved, meanwhile, the recognition and classification accuracy and the classification efficiency of the densely-arranged objects with smaller distinguishable features are improved, and the training amount of a classification neural network is reduced.
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Description

【Technical field】

[0001] The invention relates to the field of image recognition, in particular to an image-based object classification method, system and electronic equipment. 【Background technique】

[0002] In the field of image recognition, neural networks are usually used to identify and classify objects in images.

[0003] However, in the existing image-based object classification methods, densely arranged objects in the image, such as densely arranged commodities in supermarket containers, have the characteristics of dense arrangement and small distinguishable features of commodities under different subcategories. There is a problem that it is difficult to identify small commodities. The existing image-based object classification methods are difficult to identify the above-mentioned objects, and the accuracy of recognition and classification is low. 【Content of invention】

[0004] In order to overcome the problem of low accuracy of existing image-based object classi...

Claims

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