Image-based object classification method and system and electronic device

A technology of object classification and object, applied in the field of image recognition, can solve problems such as inaccurate classification results, and achieve the effect of improving accuracy

Active Publication Date: 2019-05-17
创新奇智(重庆)科技有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problem of inaccurate classification results in the current image-based object classification method, the present invention provides an image-based object classification method, system and electronic equipment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] 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.

[0050] see figure 1 , an image-based object classification method includes the following steps:

[0051] Step S1: Obtain an image to be processed including at least one object to be measured.

[0052] Specifically, the image to be processed includes a background and at least one object. Wherein, the objects include background objects and objects to be measured. For ease of description, in the present invention, beverages of various types and tastes are used as examples, and the image to be processed includes background objects and at least one bottle of beverage, but it is only ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an image-based object classification method and system and an electronic device. The method comprises the steps of identifying a first area where an object of an image is located; generating a plurality of second regions on the object characteristics of the first region; subdividing the plurality of second regions to obtain a plurality of second subdivided regions; classifying and screening out a third area containing the to-be-detected object, subdividing the third area to obtain a fourth area containing the distinguishing characteristics of the to-be-detected object,and finally identifying and classifying the first area, the second area, the third area and the fourth area where the to-be-detected object is located to obtain the classification information of theto-be-detected object. The accuracy of object classification is improved by carrying out multi-stage classification and screening on the object areas of the to-be-processed image.

Description

【Technical field】 [0001] The invention belongs to the field of image recognition, and in particular relates to an image-based object classification method, system and electronic equipment. 【Background technique】 [0002] Image recognition technology has been increasingly used in people's lives, such as network supervision to identify and classify images, and the intelligent recognition function of electronic equipment, all of which are applied to image recognition technology. Image recognition technology can be used to classify objects in images, making life and work more convenient and intelligent. [0003] However, in the prior art, the classification of some objects in the image-based object classification method is not accurate, and objects of the same category may have very similar features, which may reduce the confidence of classification. For example, bottles with different flavors of the same type of beverage are all the same, and at this time, the classification r...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 张发恩张祥伟秦永强赵江华
Owner 创新奇智(重庆)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products