Adherent red blood cell automatic counting method based on high spectral imaging

A hyperspectral imaging and automatic counting technology, applied in image data processing, calculation, image analysis, etc., can solve the problems of cell morphological diversity, cell adhesion interference, etc., and achieve the effect of improving the accuracy.

Active Publication Date: 2017-06-20
江苏华创高新医疗科技有限公司
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Problems solved by technology

However, due to the diversity of cell morphology, cell adhesion, and the interference of certain components, it has

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  • Adherent red blood cell automatic counting method based on high spectral imaging
  • Adherent red blood cell automatic counting method based on high spectral imaging
  • Adherent red blood cell automatic counting method based on high spectral imaging

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[0037] In order to more clearly illustrate the technical means, technical improvements and beneficial effects of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings.

[0038] A method for automatically counting cohesive red blood cells based on hyperspectral imaging provided by the present invention, see figure 1 , figure 2 , image 3 and Figure 4 , including the following steps:

[0039] S101: Read in the hyperspectral image data of the blood smear and compress it, decompose the compressed hyperspectral image data using the continuous maximum angle convex cone method, and obtain an abundance map of a preset number of endmembers in the blood smear.

[0040] The steps are specifically:

[0041] Read the hyperspectral image data Data(2x, 2y, λ) of the blood smear;

[0042] Using quadratic linear interpolation to compress the row and column number of each band image in the hyperspectral image data to ...

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Abstract

The invention discloses an adherent red blood cell automatic counting method based on high spectral imaging. The method includes the following steps: reading high spectral image data of a blood film and compressing the data, decomposing the compressed high spectral data through a continuous maximum angle convex cone method, and obtaining abundance maps of a preset number of end members of the blood film; conducting binary processing on the abundance maps of the end members through the Otsu method, and removing fine noise spots through erosion operation by a mathematic morphological method; conducting hole filling on binary images of the end members, and selecting a cytoplasm binary image on the basis of the number of connected domains and the size of the maximum connected domain; marking and counting areas of cytoplasm connected domains of the cytoplasm binary image, and selecting a median of the areas of the cytoplasm connected domains as a reference value R; and identifying and counting all the cytoplasm connected domains. Through full utilization of spectrum and image information, the counting problem of adherent red blood cells is solved, and the accuracy of a red blood cell automatic counting result is improved.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an automatic counting method for cohesive red blood cells based on hyperspectral imaging. Background technique [0002] As the most common type of blood cell, red blood cells are responsible for oxygen transport and immune function. Red blood cell count is an important indicator of blood routine examination and has important reference value in disease prevention and diagnosis. At present, the automatic blood cell analyzer has effectively improved the analysis rate, but the analysis results have a high false negative rate, and some samples still need to be re-examined by the inspector to reduce the rate of missed diagnosis and misdiagnosis. Microscopic examination of blood smear, as the gold standard for clinically judging the pathological changes of blood cells, is still an essential analysis method. The traditional method of blood cell classification and recog...

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Application Information

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IPC IPC(8): G06T7/155G06T7/136G06T7/187
CPCG06T2207/30242
Inventor 周梅刘茜李庆利刘洪英邱崧
Owner 江苏华创高新医疗科技有限公司
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