Image processing method and device, electronic equipment and readable storage medium

An image processing and image technology, which is applied in image data processing, image enhancement, image analysis, etc., can solve the problems of low image clarity and resolution, complex background interference, and low resolution of traffic light images, so as to eliminate irrelevant images Effects of Noise Information, Resolution Enhancement, Clarity and High Resolution

Active Publication Date: 2018-10-19
BOE TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the size and application of the traffic light itself, it is determined that in the images captured by the vehicle camera, the traffic light often appears as a relatively small target, and the background interference is relatively more complicated.
At the same time, affected by the imaging level of the current camera, the resolution of the traffic light image is low
Therefore, in the process of implementing the present application, the inventors found that the prior art has at least the following problems: currently based on the limitation of equipment cost or usage environment, the clarity or resolution of the finally obtained image is not high, which in turn affects the subsequent detection and recognition

Method used

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

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Embodiment 1

[0076] refer to figure 1 As shown, it is a schematic flowchart of an embodiment of the image processing method provided by the present invention. As can be seen from the figure, the image processing method described in the present application includes the following steps:

[0077] Step S1, acquiring an initial image and performing superpixel segmentation processing on the initial image to obtain segmented image blocks; wherein, the initial image is an image taken by an automatic driving vehicle, that is, the initial image is an original image that needs further processing; Superpixel segmentation here refers to subdividing a digital image (that is, an initial image or an initial image into a numerical image) into multiple image subregions to obtain a collection of pixels, and the image subregions here are called superpixels; The above-mentioned initial image is the original image information obtained by shooting, and the target image to be recognized may only be a small part ...

Embodiment 2

[0107] In this embodiment, a traffic light is taken as an example for illustration, that is, the initial image is an image taken by an automatic driving vehicle for a traffic light, and the target image is an image corresponding to a traffic light; wherein, the initial image is generally an image of an automatic driving vehicle Images captured by the on-board camera. From the traffic lights captured by common car cameras, it can be seen that the position of traffic lights generally appears in the upper half of the image, and the probability of appearing in the lower half is very small, and the higher the position of the image, the more likely it is a traffic light is large, so that the position feature of the image corresponding to the traffic light is that the probability of occurrence gradually decreases from top to bottom, and then based on the lower half of the image, no traffic light will appear, so the weight coefficient of the lower half of the image is set to 0 ; For t...

Embodiment 3

[0111] refer to image 3 Shown is a schematic structural diagram of an embodiment of the image processing device provided by the present invention. The image processing device includes:

[0112] The superpixel segmentation unit 101 is configured to acquire an initial image and perform superpixel segmentation processing on the initial image to obtain segmented image blocks; wherein the initial image is an image taken by an automatic driving vehicle;

[0113] The interest extraction unit 102 is used to extract the region of interest from the segmented image block based on the image features of the target image; wherein the target image is an image corresponding to a traffic light;

[0114] The super-resolution reconstruction unit 103 is configured to perform super-resolution reconstruction on the region of interest to obtain an optimized image.

[0115] In some optional embodiments of the present application, the superpixel segmentation unit 101 is further configured to:

[0...

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Abstract

The invention discloses an image processing method and device, electronic equipment and a readable storage medium. The image processing method includes obtaining an initial image and performing superpixel segmentation processing on the initial image to obtain segmented image blocks; extracting a region of interest from the segmented image blocks based on image features of a target image; and performing super-resolution reconstruction on the region of interest to obtain an optimized image. By combining the superpixel segmentation and the super-resolution reconstruction, after the initial imageis subjected to the superpixel segmentation processing, the region of interest can be extracted correspondingly based on specific features of the desired target image, and the optimized image is obtained by use of the super-resolution reconstruction method, so that the resolution of the image is greatly improved; and thus interference information can be eliminated, corresponding image features canbe highlighted, i.e., the image processing method provided by the application can optimize to obtain an optimized image with higher definition and resolution, thereby facilitating subsequent detection and recognition.

Description

technical field [0001] The present invention relates to the technical field of image processing and recognition, in particular to an image processing method, device, electronic equipment and readable storage medium. Background technique [0002] Although the current camera technology is developing rapidly, due to the limitations of equipment cost or usage environment, it is still difficult to obtain high-resolution images with camera equipment used in many places, which leads to problems in subsequent corresponding recognition and detection. Example: Traffic light detection is one of the most important functions in autonomous driving. However, due to the size and application of the traffic light itself, it is determined that in the images captured by the vehicle camera, the traffic light often appears as a relatively small target, and the background interference is relatively more complicated. At the same time, affected by the imaging level of the current camera, the resolu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/11G06T7/90G06V10/25G06V10/50G06V10/56G06V10/764
CPCG06T5/00G06T7/11G06T7/90G06T2207/20084G06T2207/20021G06T3/4053G06T2207/10024G06T2207/30252G06V20/584G06V10/255G06V10/50G06V10/25G06V10/56G06V10/82G06V10/764G06T3/4007G06F18/22G06F18/23
Inventor 杨静林
Owner BOE TECH GRP CO LTD
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