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A Superpixel Reconstruction Segmentation and Reconstruction Method Based on Multiphoton Confocal Microscopic Cell Image

A confocal microscopy and superpixel technology, which is used in the intersection of image processing and biomedicine to achieve good boundary segmentation, save system memory, and improve accuracy.

Active Publication Date: 2018-06-08
FUJIAN NORMAL UNIV
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Problems solved by technology

[0004] The clinical application of medical imaging has made great progress in medical diagnosis and treatment technology, but traditional two-dimensional images only express the anatomical information of a certain section

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  • A Superpixel Reconstruction Segmentation and Reconstruction Method Based on Multiphoton Confocal Microscopic Cell Image
  • A Superpixel Reconstruction Segmentation and Reconstruction Method Based on Multiphoton Confocal Microscopic Cell Image
  • A Superpixel Reconstruction Segmentation and Reconstruction Method Based on Multiphoton Confocal Microscopic Cell Image

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the drawings and embodiments.

[0050] Such as figure 1 As shown, this embodiment provides a superpixel reconstruction segmentation and reconstruction method based on multiphoton confocal microscopy cell images. First, the multiphoton confocal microscopy cell image to be processed in RGB format is converted to CIELAB color space; it is determined to generate K After super pixel, the picture is divided into K square areas evenly. In the 3×3 neighborhood of the geometric center of the square, the position with the smallest gradient is determined. This is the position of the central pixel; the distance D is defined to determine the pixel and super The attribution relationship of the center of the pixel. When D is the smallest, the pixel belongs to that super pixel. The position of the center pixel needs to be constantly updated during the continuous change of the shape of the super pixel; the removal of ...

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Abstract

The invention relates to a multi-photon confocal microscopic cell image based ultra-pixel refactoring segmentation and reconstruction method, which comprises the steps of firstly selecting a plurality of multi-photon confocal microscopic cell images to be processed, and converting the plurality of multi-photon confocal microscopic cell images into a CIELAB color space from an RGB format; determining the number of ultra-pixels in each image, and determining the position of a central pixel point gc of each ultra-pixel; carrying out clustering on each pixel, calculating the distance D between each pixel and central pixels of a plurality of nearest super-pixels, and determining which ultra-pixel each pixel belongs; marking each super-pixel, marking pixels contained by each super-pixel, determining the boundary of each super-pixel, mapping the boundary of each super-pixel to the original image, acquiring an initial segmentation image, carrying out post processing on the initial segmentation image, and acquiring a segmentation image of the multi-photon confocal microscopic cell image; and finally, carrying out three-dimensional reconstruction on the segmentation image. According to the invention, observation for growing conditions of a cell in different periods can be realized.

Description

Technical field [0001] The invention relates to the cross field of image processing and biomedicine, in particular to a superpixel reconstruction segmentation and reconstruction method based on multiphoton confocal microscopic cell images. Background technique [0002] Multiphoton laser scanning microscopes use multiphoton excitation, which is a nonlinear process with accurate positioning characteristics, that is, only photons at the focal point can excite fluorescent molecules, and photobleaching and photodamage are limited to the vicinity of the focal point, and help to reduce Test the autofluorescence of the sample so that living cells can be observed for a longer period of time. The multiphoton laser scanning microscope uses a longer wavelength infrared laser, which is excited by energy pulses. Infrared light has a stronger penetrating power in biological tissues than visible light. Therefore, the multiphoton laser scanning microscope can better solve the tomography of deep s...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/174G06T15/00
CPCG06T7/174G06T15/005G06T2207/10048G06T2207/10061G06T2207/20021G06T2215/06
Inventor 陈冠楠刘高强吴伟霖朱小钦黄祖芳李彦龚海明陈荣
Owner FUJIAN NORMAL UNIV
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