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Image processing method, electronic device and computer readable storage medium

A technology of image processing and electronic devices, which is applied in the field of data processing, can solve the problems of inability to find physical interval features and poor universality, and achieve the effects of improving universality, avoiding false screening, and improving compression rate

Active Publication Date: 2019-08-06
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in real life, traffic lights have physical separation characteristics, but other traffic elements such as street signs can hardly find such physical separation characteristics
Therefore, the existing schemes are only suitable for the aggregation of certain types of traffic elements, and are only suitable for specific scenarios, and the universality is not strong
Moreover, the existing scheme is to aggregate the whole image. If there are repeated physical points and non-repeated physical points in two consecutive images, since the physical distance between the two images is relatively close, non-repeated, useful The physical points are removed

Method used

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  • Image processing method, electronic device and computer readable storage medium
  • Image processing method, electronic device and computer readable storage medium
  • Image processing method, electronic device and computer readable storage medium

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Embodiment Construction

[0018] In order to further explain the technical means and effects adopted by the present application to achieve the intended purpose of the invention, the specific implementation, structure, features and effects of the present application will be described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0019] see figure 1 , is an application environment diagram of the image processing method provided in the embodiment of the present application. Such as figure 1 As shown, multiple mobile terminals 100, server 200 and image data processing system 300 perform data interaction through a wired or wireless network. The image data processing system 300 includes one or more electronic devices for image data processing, such as electronic data processing equipment such as smart phones, tablet computers, and notebook computers that can be used on the move, as well as other non-disabled devices such as desktop computers and servers. Electro...

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Abstract

The embodiment of the invention discloses an image processing method, an electronic device and a computer readable storage medium, and relates to the technical field of data processing. The image processing method comprises the following steps: analyzing each traffic element in each frame of image one by one, judging whether the traffic elements are repeated in a plurality of frames of images which are adjacent in time or not, and marking the repeated traffic elements; and deleting redundant images in all the images, wherein all the traffic elements in the redundant images are marked as the repeated traffic elements. The method, the electronic device and the computer readable storage medium can be used for improving the universality of redundant image screening and the compression rate ofrepeated traffic elements in the image.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to an image processing method, an electronic device, and a computer-readable storage medium. Background technique [0002] Map crowdsourcing is an emerging data production mode in the data collection industry. It subcontracts map data collection work to many users. Subcontracting users only need to install a simple application on their mobile phones to participate in crowdsourcing data collection. It has the advantages of low acquisition cost, fast return speed, and wide coverage. At present, in the face of billions of image data collected by many subcontracted users every year, how to use image intelligent recognition technology to promote the realization of production automation and reduce labor costs is a very urgent task. Among them, how to remove redundant images in many image data is the most important task in this task. [0003] Generally speaking, clusterin...

Claims

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Application Information

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IPC IPC(8): H04N5/76
CPCH04N5/76
Inventor 郭勤振刘龙薛涛张红卫
Owner TENCENT TECH (SHENZHEN) CO LTD
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