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Image feature detection method, device and apparatus in complex environment

A technology of image features and complex environments, applied in the field of image processing, can solve the problems of high dimensionality of target image data, failure to meet detection requirements, high resource overhead, etc., achieve high detection accuracy, avoid the problem of dimensionality disaster, and reduce dimensionality Effect

Pending Publication Date: 2022-02-15
CHINA GREATWALL TECH GRP CO LTD
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Problems solved by technology

However, in a complex environment, the feature data of the obtained target image has many dimensions. Using the above two methods will cause the problem of dimensionality disaster and high resource overhead, which cannot meet the detection requirements of market application scenarios in complex environments.

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  • Image feature detection method, device and apparatus in complex environment
  • Image feature detection method, device and apparatus in complex environment
  • Image feature detection method, device and apparatus in complex environment

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Embodiment Construction

[0042] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0043] It should be understood that the term "and / or" used in the description of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. In addition, in the description of the specification and appended claims of the present application, the terms "first", "...

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Abstract

The invention provides an image feature detection method, device and apparatus in a complex environment, relates to the technical field of image processing, and can effectively improve the detection efficiency and accuracy of a target feature image, avoid curse of dimensionality and reduce resource overhead. The method comprises the following steps: acquiring a to-be-detected image, wherein the to-be-detected image is a binary image; removing background noise in the to-be-detected image through a layer-by-layer grading lightweight model to obtain a first feature image, and performing target feature selection from the first feature image to obtain a target feature image; and randomly pasting the target feature image into the first feature image to generate a second feature image, and determining position information of the target feature image according to the target feature image and the second feature image.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image feature detection method, device and equipment in a complex environment. Background technique [0002] At present, there are two main detection methods for target image feature data commonly used: one is the linear discriminant analysis data detection method; the other is the principal component analysis data detection method. However, in a complex environment, the feature data of the obtained target image has many dimensions. Using the above two methods will cause the problem of dimensionality disaster and high resource overhead, which cannot meet the detection requirements of market application scenarios in complex environments. [0003] Therefore, how to effectively detect target image feature data in a complex environment, reduce the curse of dimensionality and reduce resource overhead has become a hot issue in the field of data analysis. Con...

Claims

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Application Information

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IPC IPC(8): G06V10/40G06V10/22G06V10/30G06V10/28G06V10/82G06N3/04
CPCG06N3/045
Inventor 杨先明郭莹莹李文姬
Owner CHINA GREATWALL TECH GRP CO LTD
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