Target statistical method and device, terminal and storage medium

A statistical method and technology for target objects, which are applied in the field of target object statistical methods, terminals, storage media, and devices, can solve problems such as time-consuming, labor-intensive, affecting cells or signal distribution strength, and improve counting accuracy. , the effect of reducing the amount of labor

Active Publication Date: 2018-12-07
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The effect of precise regional division of existing brain slice images is very critical, which directly affects the statistical results of the distribution intensity of cells or signals in different brain regions, which may affect the overall research conclusions
Cell counting of brain slice images is usually done manually by experimenters, which is labor-intensive and time-consuming, and the counting standards vary from person to person

Method used

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  • Target statistical method and device, terminal and storage medium
  • Target statistical method and device, terminal and storage medium
  • Target statistical method and device, terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] figure 1 It is a flow chart of a target counting method provided in Embodiment 1 of the present invention. This embodiment is applicable to the case of cell counting, and the method can be executed by a target counting device, such as figure 1 As shown, it specifically includes the following steps:

[0058] Step 110, acquiring a grayscale image of the target image.

[0059] The target image includes at least one fluorescent colored target. The target object may be microorganisms such as cells, bacteria, and viruses stained by a fluorescent agent, and the fluorescent color is the color of the fluorescent agent. For example, the target object is a cell stained with fluorescent yellow. From the image of the target, the target object is a small fluorescent yellow dot.

[0060] In this embodiment, the grayscale image is a new image formed by converting the RGB values ​​of the pixels in the target image into corresponding pixel grayscale values. There are many ways to spec...

Embodiment 2

[0109] Figure 7 It is a flow chart of a method for counting objects provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of cell counting. This method can be executed by a terminal. Assuming that the target object is a target cell stained with fluorescent yellow, The original image is a brain slice map segmented by the brain atlas, and the present invention is exemplified by being applied to the MATLAB environment, and the method specifically includes the following steps:

[0110] Step 201, obtaining the original image.

[0111] Read the original image through the imread function.

[0112] Step 202: Compress the original image by downsampling.

[0113] Step 203, the brain atlas extracted from the G channel of the original image after compression.

[0114]The original image after compression can include two layers, a brain atlas layer and a brain slice layer. This embodiment extracts the brain atlas in the G channel of the brain atlas...

Embodiment 3

[0134] An object counting device provided in an embodiment of the present invention can execute the object counting method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0135] Figure 9 A schematic structural diagram of an object counting device provided in Embodiment 3 of the present invention, as shown in Figure 8 As shown, the object statistics device can include:

[0136] An acquisition module 301, configured to acquire a grayscale image of a target image.

[0137] The first determination module 302 is configured to determine the target area in the grayscale image where the pixel grayscale value is within a preset fluorescence value range.

[0138] The second determination module 303 is configured to determine the quantity of the target objects according to the quantity of the target areas.

[0139] This embodiment can determine the target areas whose pixel gray value in ...

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Abstract

The invention discloses a target statistical method and device, a terminal and a storage medium. The target statistical method includes: acquiring a grayscale image of a target image, wherein the target image includes at least one fluorescent color target; determining target regions having the pixel grayscale value within a preset fluorescence value range in the grayscale image; and determining the number of targets according to the number of the target regions. The method can determine the target regions having the pixel grayscale value within the preset fluorescence value range in the grayscale image, and the target regions are regions occupied by the targets in the grayscale image, so that the number of the targets can be counted according to the target regions. Therefore, there is no need to manually count the targets, automatic counting of the targets is achieved, the accuracy of the counting is improved, and the working load of the user is reduced.

Description

technical field [0001] Embodiments of the present invention relate to image processing technology, and in particular to a method, device, terminal and storage medium for counting objects. Background technique [0002] The brain is the most complex organ in the animal body. It is composed of a large number of neurons and other cells with different shapes and functions, and controls activities such as emotion, rhythm, cognition, memory, imagination and consciousness. [0003] With the development of neural staining technology, people usually need to study the distribution of different molecular expression levels, cell numbers, and fluorescent signal intensities in different brain regions, and quantify and compare them, so as to understand the composition and structure of the brain and the organization of cells. distribution characteristics. The effect of precise regional division of existing brain slice images is very critical, which directly affects the statistical results o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10064G06T2207/30242G06T2207/30016
Inventor 韩亚宁蔚鹏飞王立平
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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