Pavement crack picture preprocessing intelligent selection method and device and electronic equipment

A technology for pavement cracks and intelligent selection, applied in the field of image processing, can solve problems such as inability to preprocess pavement images and select optimal preprocessing methods for pavement images with different features, so as to avoid the process of feature extraction and data reconstruction, reduce The effect of complexity, strong generality

Active Publication Date: 2020-03-06
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, the existing methods are often unable to select the optimal preprocessing method for road images with different characteristics, and it is impossible to perform targeted preprocessing operations on road images.

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  • Pavement crack picture preprocessing intelligent selection method and device and electronic equipment
  • Pavement crack picture preprocessing intelligent selection method and device and electronic equipment
  • Pavement crack picture preprocessing intelligent selection method and device and electronic equipment

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Embodiment Construction

[0054] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0055] In the prior art, the preprocessing methods used for pavement crack images mainly include: histogram equalization, bilateral filtering, and morphological opening operation. Each preprocessing method will be described in detail below.

[0056] (1) Histogram equalization

[0057] An important application of histogram equalization grayscale transformation is generally used in image enhancement processing. It uses the histogram to adjust the gray value of the image, enhances the global contrast of the image, and makes the gray value more evenly distributed on the histogram. Images processed by histogram equalization tend to have clearer textures and richer details, and at the same time, the image information entropy will also increase,...

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Abstract

The invention discloses a pavement crack picture preprocessing intelligent selection method and device and electronic equipment, and the method comprises the steps: obtaining a to-be-processed pavement crack picture; for a to-be-processed pavement crack picture, determining a preprocessing action according to the target neural network model; wherein the target neural network model is obtained by training based on a training data set of pavement crack pictures containing different features; and pre-processing a to-be-processed pavement crack picture by utilizing the pre-processing action. The method is based on a deep reinforcement learning algorithm, and an algorithm for automatically selecting an optimal preprocessing mode is realized for pavement picture data with different characteristics, so that the recognition accuracy of pavement cracks is further improved.

Description

technical field [0001] The invention relates to the technical field of picture processing in artificial intelligence, in particular to an intelligent selection method, device and electronic equipment for preprocessing of road crack pictures. Background technique [0002] When identifying cracks in pavement pictures, the quality of the image itself will directly affect the design of the subsequent algorithm and the accuracy of its effect, etc. Therefore, it is necessary to perform appropriate preprocessing operations on the pictures before the identification operation. The main purpose of image preprocessing is to eliminate some noise information in the image, enhance the readability of effective information, optimize data information to a greater extent, and provide high-quality conditions for subsequent image processing. However, the existing methods are often unable to select optimal preprocessing methods for road images with different characteristics, and thus cannot perf...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/00
CPCG06T5/002G06T7/0004G06T2207/10004G06T2207/20024G06T2207/20036G06T2207/20081G06T2207/20084G06T2207/30132
Inventor 徐国爱蔺岩徐国胜
Owner BEIJING UNIV OF POSTS & TELECOMM
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