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A brightness enhancement method for two-photon microscopic images of low-brightness human tissues and cells

A human tissue and brightness enhancement technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problem that low-brightness two-photon microscopic images of human tissue cells cannot obtain effective information, and achieve high visual information fidelity , less brightness distortion and distortion, and avoid the effect of noise

Active Publication Date: 2019-01-18
FUJIAN NORMAL UNIV
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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to propose a method for enhancing the brightness of two-photon microscopic images of low-brightness human tissue cells, which solves the problem that more effective information cannot be obtained in low-brightness two-photon microscopic images of human tissue cells

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  • A brightness enhancement method for two-photon microscopic images of low-brightness human tissues and cells
  • A brightness enhancement method for two-photon microscopic images of low-brightness human tissues and cells
  • A brightness enhancement method for two-photon microscopic images of low-brightness human tissues and cells

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0039] Such as figure 1In the shown embodiment, the initial brightness evaluation map is first calculated according to the input image data, and then the initialization brightness evaluation map is subjected to correlation filtering and linear optimization function processing to obtain an accurate brightness evaluation map, and then the precise brightness evaluation map is obtained by using retinal imaging and cerebral cortex adjustment principles. The brightness evaluation map is calculated to obtain the exposure rate map, and finally the brightness enhancement of the microscopic image of human tissue cells is realized by combining the CCF optimization model and the exposure rate map.

[0040] Specifically, this embodiment provides a method for enhancing the brightness of two-photon microscopic images of human tissue cells with low brightness, includin...

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Abstract

The invention relates to a brightness enhancement method for two-photon microscopic images of low-brightness human tissues and cells, which comprises the following steps: low-brightness image data type is converted into double-precision type; the maximum values of the three color channels in the image are taken as the initial brightness evaluation maps of human tissue cell images; using correlation filter and linear optimization function, the accurate brightness evaluation map of human tissue and cell image is obtained; according to the principle of retinal imaging and cerebral cortex regulation, the exposure map of brightness enhancement is obtained; combined with chi-square distribution function optimization model and exposure mapping, a good brightness enhancement image is obtained. Theaim of that invention is to address the two-photon microscopic image of human tissue and cell with serious noise and complex background, not only can the visual information of the image be enhanced,but also higher fidelity of visual information and less distortion and distortion of brightness are obtained, thus solving the problem that more effective information can not be obtained in the two-photon microscopic image of human tissue and cell with low brightness.

Description

technical field [0001] The invention relates to the field of image enhancement, in particular to a brightness enhancement method for two-photon microscopic images of low-brightness human tissue cells. Background technique [0002] Image enhancement is an important topic in the field of image processing. Image enhancement that obtains more realistic visual information and less brightness distortion can provide favorable conditions for feature extraction and image classification in the recently popular convolutional neural network. At present, improving the quality and visual effects of biomedical images has gradually become a research hotspot in the field of image enhancement. Although image enhancement has made breakthroughs in natural images, due to the variability and complexity of human cells, few scholars at home and abroad have conducted research on the brightness enhancement of human tissue cell images. [0003] Existing image enhancement techniques are divided into g...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/30041G06T2207/30024G06T2207/10061G06T5/77
Inventor 陈冠楠韦超林宏心卓双木陈荣
Owner FUJIAN NORMAL UNIV
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