Paper laboratory sheet image preprocessing method and system
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A technology for image preprocessing and test sheets, which is applied in the field of image processing, can solve the problems of image shadows and creases, and achieve the effects of improving visual quality and readability, improving recognition accuracy, and improving quality
Pending Publication Date: 2022-03-15
SHANDONG NORMAL UNIV
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Using the method of deep learning, two convolutional neural networks are respectively proposed to solve the document image geometry and lighting distortion, but the lighting correction network is not effective in processing image shadows and creases.
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Embodiment 1
[0055] Such as figure 1 As shown, this embodiment provides an image preprocessing method for a paper test sheet, including:
[0056] S1: Construct a test sheet image preprocessing model including a background estimation sub-network, a shadow removal sub-network and a crease removal sub-network;
[0057] S2: Use the background estimation sub-network to learn the features of the paper test sheet image, obtain the global background color and the spatial distribution characteristics of background and non-background pixels, and construct a shadow attention map;
[0058] S3: According to the original paper test sheet image, the global background color and the shadow attention map, the shadow removal sub-network is trained to obtain a shadow-free image;
[0059] S4: Based on the unshaded image, the background estimation sub-network is used to construct the crease attention map, and the crease removal sub-network is trained according to the unshaded image and the crease attention map...
Embodiment 2
[0098] This embodiment provides an image preprocessing system for a paper test sheet, including:
[0099] A model building module configured to construct an assay sheet image preprocessing model comprising a background estimation subnetwork, a shadow removal subnetwork, and a crease removal subnetwork;
[0100] The attention module is configured to use the background estimation sub-network to perform feature learning on the paper test sheet image, and obtain the global background color and the spatial distribution characteristics of background and non-background pixels, so as to construct a shadow attention map;
[0101] The shadow removal module is configured to obtain a shadow-free image after training the shadow removal sub-network according to the original paper test sheet image, the global background color and the shadow attention map;
[0102] The crease removal module is configured to construct a crease attention map using the background estimation sub-network based on ...
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Abstract
The invention discloses a paper laboratory sheet image preprocessing method and system. The method comprises the following steps: constructing a laboratory sheet image preprocessing model comprising a background estimation sub-network, a shadow removal sub-network and a crease removal sub-network; carrying out feature learning on the paper laboratory sheet image by adopting a background estimation sub-network to obtain a global background color and spatial distribution features of background and non-background pixels so as to construct a shadow attention map; training the shadow removal sub-network according to the original paper laboratory sheet image, the global background color and the shadow attention map to obtain a shadow-free image; and constructing a crease attention graph by adopting the background estimation sub-network according to the shadow-free image, and training the crease removal sub-network according to the shadow-free image and the crease attention graph to obtain a shadow-free crease-free laboratory sheet image. The visual quality and readability of the image are improved, and it is ensured that the good effect and robustness are achieved for laboratory sheet images with different features.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to an image preprocessing method and system for a paper test sheet. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] At present, paper test sheets are still the main carrier of hospital inspection reports, but they are not easy to save. With the popularity of mobile phones, people are more inclined to use mobile phone cameras to save paper documents, but there are often problems in doing so. For example, the geometric shape of the document may be distorted due to the angle of the camera, and shadows may be formed due to the occlusion of the light source. In particular, when the paper test sheet itself has creases, the problem of uneven light distribution on the page is particularly prominent . The above-mentioned problems will lead to p...
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