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Image processing method, device and equipment and storage medium

An image processing and image technology, applied in the field of image recognition, can solve problems such as low accuracy, and achieve the effect of improving accuracy and accuracy

Pending Publication Date: 2020-06-26
上海眼控科技股份有限公司
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Problems solved by technology

[0005] Based on this, it is necessary to aim at the problem of low accuracy of the second review of stitched images, and an image processing method, device, equipment and storage medium are provided

Method used

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  • Image processing method, device and equipment and storage medium
  • Image processing method, device and equipment and storage medium
  • Image processing method, device and equipment and storage medium

Examples

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Embodiment Construction

[0049] The image processing method, device, equipment and storage medium provided by this application are aimed at solving the problem of low accuracy of the secondary review. The technical solution of the present application and how the technical solution of the present application solves the above technical problems will be described in detail below through embodiments and in conjunction with the accompanying drawings. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0050] It should be noted that the image processing method provided by the embodiment of the present application is executed by an image processing terminal, where the executed object can also be an image processing device, where the device can be implemented by software, hardware or a combination of software and hardware Become part or all of the image processing terminal.

[0051] The image processing m...

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Abstract

The invention relates to an image processing method, device and equipment and a storage medium. A terminal acquires a spliced image of a suspected illegal driving target vehicle, carries out segmentation processing on the spliced image, obtains a plurality of segmented images, detects whether each segmented image is a close-up image or not, deletes the feature map from the plurality of segmented images, and determines whether the target vehicle runs illegally or not by using the remaining segmented images. The spliced image is obtained by splicing a plurality of captured road images of the target vehicle; therefore, the spliced image of the suspected illegal driving target vehicle is subjected to secondary auditing; secondary auditing is carried out after most of close-up graphs occupied by the target vehicle in the image are removed, and due to the fact that the area occupied by the target vehicle in other segmented images is small, the accuracy of secondary auditing on the spliced image is improved.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to an image processing method, device, equipment and storage medium. Background technique [0002] With the growth of the number of vehicles, while bringing convenience to people's transportation, illegal driving of vehicles also occurs from time to time. [0003] In the traditional method, a camera installed on the road captures road images, and inputs the captured road images into a preset traffic violation recognition model, so as to recognize whether a vehicle is driving illegally through the traffic violation recognition model. When there is a vehicle suspected of illegal driving, multiple road images of the suspected illegal driving vehicle captured are spliced ​​to obtain a spliced ​​image, and the spliced ​​image is subjected to a second review to determine whether the vehicle is illegal. [0004] However, the accuracy rate of the secondary review of the...

Claims

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Application Information

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IPC IPC(8): G06T7/194G06T3/40
CPCG06T7/194G06T3/4038G06T2207/30236
Inventor 周康明邹芳喻
Owner 上海眼控科技股份有限公司
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