Morphology-based neuron recognizing and analyzing method

A technology based on morphology and analysis methods, applied in image analysis, character and pattern recognition, recognition of medical/anatomical patterns, etc., can solve the problems of limited morphological data, slow recognition speed, etc., to reduce labor intensity and recognize fast speed. , which is conducive to the effect of subsequent data analysis

Inactive Publication Date: 2015-02-04
NANJING UNIV OF SCI & TECH
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Problems solved by technology

In this method, the region growing method is used to roughly segment the image, and the snake is used to accurately segment the nerve fibers. Althoug

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  • Morphology-based neuron recognizing and analyzing method
  • Morphology-based neuron recognizing and analyzing method
  • Morphology-based neuron recognizing and analyzing method

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Embodiment Construction

[0044] Such as figure 1 As shown, the present invention is based on the neuron recognition and analysis method of morphology, and the steps are as follows:

[0045] The first step is to collect microscopic image data of nerve cells;

[0046] The second step is to preprocess the microscopic image data obtained in the first step to obtain a denoised image.

[0047] Interference such as electrical noise and slight external vibrations will affect the quality of microscopic images, so image filtering and denoising are necessary. Commonly used spatial filtering methods include mean filtering, median filtering, and adaptive filtering. According to the grayscale characteristics of the myelin sheath and the axon, the present invention can achieve a relatively ideal effect by using the median filter. Median filtering uses the gray level median value in a pixel field to replace the pixel value. Commonly used two-dimensional field windows such as: square, circle, cross, diamond, etc., u...

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Abstract

The invention provides morphology-based neuron recognizing and analyzing method. The method comprises the following steps: acquiring microscopic image data of nerve cells; preprocessing the microscopic image data to obtain the noise-removed image; performing threshold separating for the noise-removed image to obtain the background-removed neure image; extracting single neure from the neure image; extracting basic parameters of single neure, wherein the basic parameters include a framework, a cell body, area of the cell body, quantity of axon or dendron, and length of axon or dendron. With the adoption of the method, the neure in the microscopic image can be automatically recognized and analyzed; in addition, the recognition is fast, and the ideal effect is realized; moreover, the shape of the neure can be visually observed; the effective neure basic parameters can be output; therefore, the labor intensity of a researcher reading a picture can be greatly reduced; meanwhile, subsequent data analysis can be performed conveniently.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and in particular relates to a neuron recognition and analysis method based on morphology. Background technique [0002] Neurons are the basic structural and functional units that make up the nervous system, also known as nerve cells, including nerve cell bodies and nerve fibers. Nerve fibers are composed of axons or dendrites of neurons, myelin sheath and nerve membrane. Myelin sheath is composed of myelin and protein, covering the outside of axons or dendrites, and has the function of insulation. The neuromembrane is a kind of glial cell, which is in the form of a film, covering the outside of nerve fibers, and has the function of protection and regeneration . The axon or dendrite is the signal output channel of neurons. The axon is usually thinner than the dendrite. It is a long cylindrical slender protrusion from the cell body. Each neuron has only one axon. Emit from the ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06K9/00
CPCG06T7/62G06T2207/30024G06T2207/10061G06V20/695G06V2201/03
Inventor 陈钱潘佳惠俞晓东牛世伟周玉蛟钱惟贤
Owner NANJING UNIV OF SCI & TECH
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