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Sub-pixel edge detection method and system

A sub-pixel edge detection method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of inability to meet industrial production requirements, low detection accuracy, poor anti-noise performance, etc., and achieve good anti-interference ability. Effect

Active Publication Date: 2019-07-19
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a sub-pixel edge detection method and system to solve the problems of low detection accuracy, poor anti-noise performance and inability to meet the requirements of industrial production in the prior art

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  • Sub-pixel edge detection method and system

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Embodiment 1

[0041] Such as figure 1 As shown, the sub-pixel edge detection method provided by the embodiment of the present invention includes:

[0042] S101, acquire the surface image of the steel plate, and reduce the resolution of each image;

[0043] S102, inputting the reduced-resolution image to the constructed super-resolution convolutional neural network (Super-Resolution Convolutional Neural Network, SRCNN) for image super-resolution reconstruction to obtain a high-resolution image;

[0044] S103, for the obtained high-resolution image, extract the pixel values ​​of the points on N one-dimensional vectors, and input them into the constructed convolutional neural network to extract image features, wherein the one-dimensional vectors are taken at equal intervals at the edge N one-dimensional vectors perpendicular to the edge;

[0045] S104, inputting the extracted image features into a bidirectional Long Short-Term Memory (LSTM) network to obtain edge point pixel position informa...

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Abstract

The invention provides a sub-pixel edge detection method and a sub-pixel edge detection system, which can improve the precision and anti-interference capability of the steel plate edge detection. Themethod comprises the following steps of acquiring the steel plate surface images, and reducing the resolution of each image; inputting the image of which the resolution is reduced into a constructed super-resolution convolutional neural network for image super-resolution reconstruction to obtain a high-resolution image; for the obtained high-resolution image, extracting the pixel values of pointson N one-dimensional vectors and inputting into the constructed convolutional neural network to extract the image features, wherein the one-dimensional vectors are N one-dimensional vectors which aretaken at equal intervals at the edge and are perpendicular to the edge; and inputting the extracted image features into a bidirectional long-short-term memory network to obtain the edge point pixel position information. The method and the system are suitable for the steel plate edge detection.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to a sub-pixel edge detection method and system. Background technique [0002] The steel plate manufacturing industry is an important condition for the development of the country's heavy industry economy. Its products have been widely used in metallurgical industry, electric power industry, automobile manufacturing, shipbuilding, aircraft manufacturing and other fields. Industrial steel plate is the basis of various large-scale equipment manufacturing. The size of the steel plate is a very important parameter in the steel rolling production process, which directly determines the yield of the steel plate and the quality of subsequent products. In modern sheet metal production, whether in the rolling process or in the adjustment of the final product, dimensional control technology can significantly improve economic efficiency and product competitiveness. [0003] The existing edge detec...

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Application Information

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IPC IPC(8): G06T7/13G06T5/00
CPCG06T5/00G06T2207/20081G06T2207/20084G06T2207/30164G06T7/13
Inventor 李江昀王宇浩曾婵
Owner UNIV OF SCI & TECH BEIJING
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