A method and system for extracting road traffic signs from aerial images
A technology of aerial images and traffic signs, applied in the field of image processing, can solve the problems of difficult to directly use traffic sign detection and recognition methods, low extraction accuracy of road traffic signs, etc., achieve strong robustness and application value, and improve extraction accuracy Effect
Active Publication Date: 2020-06-12
KUNMING UNIV OF SCI & TECH
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[0005] The purpose of the present invention is to provide a method and system for extracting road traffic signs from aerial images, so as to solve the problem that the existing traffic sign detection and recognition methods are difficult to be directly used in the extraction of road signs from aerial images and the extraction accuracy of road traffic signs is low.
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[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0062] Due to the influence of spatial resolution, remote sensing images cannot finely extract road traffic signs, while aerial images can be directly used for the extraction and positioning of road traffic signs because of their convenient shooting and high resolution. To this end, the present invention provides a method and system for extracting road traffic signs from aerial images, which can effectively extract and locate road traffic signs in aerial images...
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The invention discloses a method and system for extracting road surface traffic signs from aerial images. The method first performs grayscale conversion on multispectral aerial images to obtain a grayscale image; then uses Gabor filter and two-dimensional convolution operation to extract texture features and image enhancement of the acquired grayscale image; then uses Sobel operator to obtain a grayscale image. The image is subjected to edge detection and binary segmentation to obtain a binary edge image; finally, the binary edge image is extracted and filled with road traffic signs using the min-max object deletion method. The method of the invention can effectively extract the road traffic signs under different light, improves the extraction accuracy of the road traffic signs, and has strong robustness and application value.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for extracting road traffic signs from aerial images. Background technique [0002] With the development of remote sensing technology, remote sensing image data has been applied unprecedentedly, including the application of road traffic. However, the current remote sensing image data cannot extract various detailed information on the road due to the impact of resolution, such as the extraction and positioning of road traffic signs. Aerial images are widely used in various fields such as agriculture and transportation because of their convenient shooting, fast acquisition speed, high resolution, and good operational advantages. The emergence of aerial images provides conditions for the extraction of large-area traffic signs. Effective extraction and positioning of road traffic signs can not only be used in vehicle systems, but also provide detection m...
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IPC IPC(8): G06K9/00G06T7/13G06T7/136
CPCG06T7/13G06T7/136G06V20/13G06V20/582
Inventor 黄亮陈朋弟姚丙秀王枭轩
Owner KUNMING UNIV OF SCI & TECH