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Road image-based shelter coverage area filling method and device

A technology of covering area and filling method, which is applied in the field of image classification and recognition technology and deep learning, can solve problems such as image blurring of repair results, and achieve good visual effects

Pending Publication Date: 2020-07-31
武汉大势智慧科技有限公司
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Problems solved by technology

[0007] Embodiments of the present invention provide a method and device for filling an occluder coverage area based on road images, to solve the problem that the existing image restoration and completion network method directly infers and completes the missing regions of the three-channel color image, and the training process is excessively smooth. Defects that cause the image of the repair result to be blurred and have obvious repair traces

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  • Road image-based shelter coverage area filling method and device
  • Road image-based shelter coverage area filling method and device
  • Road image-based shelter coverage area filling method and device

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Embodiment Construction

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0052] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, n...

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Abstract

The embodiment of the invention provides a road image-based shelter coverage area filling method and device. Compared with an existing image restoration and completion network method which directly carries out deduction and completion on a missing area of a three-channel color image and enables a restoration result image to be fuzzy and a restoration trace to be obvious, the method enables image restoration work to be divided into two processes: firstly, the edge of a missing part in an original road image is restored to obtain an edge image; and after the edge image is obtained, the edge image obtained after restoration is taken as a priori constraint to build an image restoration and completion network so as to realize restoration work of the road image. In a road scene image obtained after restoration, a regular texture part is well reconstructed, visual habits of people are met, and a good visual effect can be obtained.

Description

technical field [0001] Embodiments of the present invention relate to the field of image classification and recognition technology and deep learning technology, and in particular, to a method and device for filling an area covered by an obstruction based on a road image. Background technique [0002] Since the smart city has risen to the height of national strategy, the process of smart city construction has been continuously promoted. In this context, unmanned driving research is in full swing, and intelligent transportation technology is developing rapidly. Orthophoto data is the data basis for implementing these technologies to provide smart services for modern cities. Although traditional maps already have basic functions such as information load, information transmission, cognition and simulation. But in contrast, orthophoto data has more obvious advantages: in addition to high geometric accuracy, it also has rich scenes, which can bring a higher sense of visual reali...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06N3/044G06N3/045G06F18/295
Inventor 徐亮刘湘泉
Owner 武汉大势智慧科技有限公司
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