Big data-based image feature recognition system

An image feature and recognition system technology, applied in the field of image recognition, can solve problems such as inaccurate spatial layout, inability to analyze the connection relationship of detected parts, and incomplete layout configuration, etc., to achieve efficient description, accurate and reliable detection

Inactive Publication Date: 2021-05-25
SHAOYANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the common problems in the field that the spatial layout is inaccurate, the connection relationship of the detected parts in the image cannot be analyzed, and the layout configuration cannot be perfected, etc., the present invention is made

Method used

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  • Big data-based image feature recognition system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0036] Embodiment 1: An image feature recognition system based on big data, the feature recognition system includes an acquisition device, a detection device, a traversal device, an analysis device, a verification device and a processor,

[0037] The acquisition device is configured to collect the underlying data of the detection part; the detection device is configured to collect the positional relationship of the detection part; the traversal device is configured to respond based on the positional relationship of the detection part inspection of said underlying data;

[0038] The analysis device is configured to describe the connection relationship of the detection elements; the verification device is configured to verify the data of the analysis device and the traversal device;

[0039] Optionally, the collection device includes a data collection unit, a steering unit and a modulator, the data collection unit is configured to collect the data of the detection piece; the ste...

Embodiment 2

[0048] Embodiment 2: This embodiment should be understood as at least including all the features of any one of the foregoing embodiments, and further improved on the basis of it; providing a big data-based image feature recognition system, the feature recognition system includes collecting device, detection device, traversal device, analysis device, verification device and processor, the collection device is configured to collect the underlying data of the detection piece; the detection device is configured to collect the positional relationship of the detection piece The traversal device is configured to respond to the inspection of the underlying data based on the positional relationship of the detection parts; the analysis device is configured to describe the connection relationship of the detection parts; the verification device is configured to The data of the analyzing device and the traversing device are verified; the processor is connected to the acquisition device, the...

Embodiment 3

[0055] Embodiment 3: This embodiment should be understood as at least including all the features of any one of the foregoing embodiments, and further improvement on the basis of it; provide a big data-based image feature recognition system, the feature recognition system includes collecting device, detection device, traversal device, analysis device, verification device and processor, the collection device is configured to collect the underlying data of the detection piece; the detection device is configured to collect the positional relationship of the detection piece The traversal device is configured to respond to the inspection of the underlying data based on the positional relationship of the detection parts; the analysis device is configured to describe the connection relationship of the detection parts; the verification device is configured to The data of the analyzing device and the traversing device are verified; the processor is connected to the acquisition device, th...

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Abstract

The invention provides a big data-based image feature recognition system. The system comprises an acquisition device, a detection device, a traversal device, an analysis device, a verification device and a processor; the acquisition device is configured to acquire underlying data of a detection piece; the detection device is configured to collect the position relation of the detection piece; the traversal device is configured to respond to the inspection of the underlying data based on the position relationship of the detection piece; the analysis device is configured to describe the connection relation of the detection piece; and the verification device is configured to verify the data of the analysis device and the traversal device. According to the big data-based image feature recognition system of the invention, the traversal device is matched with the analysis device, so that the structure of the detection piece can be described; and the verification device also verifies the analysis result of the analysis device, so that the analysis result can be more accurate, and the description of the connection relationship of the detection piece can be more efficient, convenient and reliable.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an image feature recognition system based on big data. Background technique [0002] In the existing image recognition technology, the analysis of the input image in the process of image recognition usually only involves feature extraction and feature comparison, such as extracting image features from the input image, and then comparing the image features with the features of known detection parts. to identify. [0003] Such as CN101093547B prior art discloses a kind of method based on the bar code of height parameter and digital collaborative identification detection piece, because generally all have bar code and the digital coding corresponding to bar code on the package, how to locate effectively from the package image of shooting place Barcode and digital coding and identifying them become the key to automatic sorting technology. At the same time, due to the fast m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/24
CPCG01B11/24
Inventor 赵乘麟刘伟春
Owner SHAOYANG UNIV
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