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G-band chromosome HDR image reconstruction method

An image reconstruction and chromosome technology, applied in the field of image processing, can solve the problems of artifacts, failure to use a single LDR image, HDR image reconstruction, etc., to achieve the effect of reducing difficulty, avoiding chromosome artifacts, and high quality

Inactive Publication Date: 2021-03-02
SHANGHAI BEION MEDICAL TECH CO LTD
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Problems solved by technology

[0005] Aiming at the disadvantages in the prior art that a single LDR image cannot be used to complete HDR image reconstruction and will cause artifacts, the present invention provides a G-banded chromosome HDR image reconstruction method, which can use a single G-banded chromosome with a low dynamic range Image reconstruction of high dynamic range images, while avoiding the problem of chromosomal artifacts when compositing HDR images

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Embodiment

[0043] G-banded chromosome HDR image reconstruction method, LDR image is G-banded chromosome LDR image, HDR image is G-banded chromosome HDR image, such as figure 1 As shown, it includes the model training steps of the three sub-networks of the dequantization network, the linearization network, and the detail reconstruction network, and the steps of reconstructing the HDR image using the trained model.

[0044] The model training steps are as follows:

[0045] S01: The dequantization network adopts a 6-level U-Net network structure. Each level of U-Net network structure is composed of two convolutional layers activated by the leaky ReLU function (α=0.1), and the Tanh activation layer is used to convert The result of the dequantization network output is normalized to [-1.0,1.0], and finally the output of the dequantization network is fused to the input LDR image I (real image) to generate a dequantization LDR image and minimize the LDR image by and the corresponding true LD...

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Abstract

The invention relates to the technical field of image processing, and discloses a G-band chromosome HDR image reconstruction method, which comprises the training steps of a dequantization network model, a linearization network model and a detail reconstruction network model, and the step of reconstructing an HDR image by using the trained models. According to the method, three neural network models, namely a de-quantization network, a linearization network and a detail reconstruction network, are designed, and a training set is formed by utilizing an actual G-band chromosome HDR image and a corresponding real LDR image, so that the training of the three neural network models is completed; performing three steps of de-quantization, linearization and overexposure region detail reconstructionon a real LDR image by using the trained model, and finally completing a task of G-band chromosome HDR image reconstruction; according to the method, reconstruction of the HDR image is completed onlythrough one LDR image, so that G-banding chromosome characteristics are more obvious, subsequent analysis is facilitated, artifacts do not appear in the reconstructed HDR image, and the quality of the image is higher.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for reconstructing HDR images of G-banded chromosomes. Background technique [0002] The quality of G-banded chromosome images will seriously affect the effect of chromosome G-banded karyotype analysis. Usually, higher-quality G-banded chromosome images can provide more chromosome structure information and texture information, and have more important clinical application value. [0003] In order to obtain a higher-quality G-banded chromosome image, a better-effect preparation method is usually used to prepare a G-banded chromosome sample, and the high-resolution chromosome preparation method is usually better than the low-resolution chromosome preparation method. Obtain more pronounced chromosomal details. With the advancement of digital image technology, digital images of G-banded chromosome samples collected by digital cameras can be processed more convenient...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T11/005G06T11/008G06N3/08G06V10/443G06V10/50G06N3/045G06F18/2135
Inventor 崔玉峰
Owner SHANGHAI BEION MEDICAL TECH CO LTD
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