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

Inactive Publication Date: 2019-10-08
创新奇智(成都)科技有限公司
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Problems solved by technology

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

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  • Image-based object classification method and system and electronic device
  • Image-based object classification method and system and electronic device
  • Image-based object classification method and system and electronic device

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Embodiment Construction

[0036] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] Please combine Figure 1a , the first embodiment of the present invention provides an image-based object classification method, comprising the following steps:

[0038] Step S1: Obtain an image to be tested with at least one object to be classified and a background;

[0039] Step S2: separating the object to be classified from the background in the image to be tested.

[0040] It can be understood that the image to be tested includes the area where the object to be classified is located and the background area other than the object to be classified. In step S2, by separatin...

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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.

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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Application Information

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IPC IPC(8): G06K9/34G06K9/62G06T5/50
CPCG06T5/50G06T2207/20016G06V10/267G06F18/241
Inventor 张发恩高达辉秦永强
Owner 创新奇智(成都)科技有限公司
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