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Image segmentation method and device, terminal and readable medium

An image segmentation and image technology, applied in the field of medical image processing, can solve the problems of unreasonable gray threshold selection, low segmentation efficiency, poor image segmentation effect, etc., and achieve the effect of improving the segmentation effect, the method is simple, and the segmentation efficiency is improved.

Active Publication Date: 2019-12-13
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the existing gray-scale threshold is used for segmentation, the existing technical problems include at least: the complexity of the algorithm leads to low segmentation efficiency; the unreasonable selection of the gray-scale threshold results in poor image segmentation effect

Method used

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  • Image segmentation method and device, terminal and readable medium
  • Image segmentation method and device, terminal and readable medium
  • Image segmentation method and device, terminal and readable medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0033] Figure 1a It is a flow chart of an image segmentation method provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of image segmentation, for example, it may be the case of image segmentation of medical images (especially direct digitized X-ray images). The method can be implemented by the terminal, specifically, it can be implemented by software and / or hardware in the terminal. see Figure 1a , the image segmentation method includes the following steps:

[0034] S110. Divide the image to be divided into blocks to obtain each image block;

[0035] S120, performing grayscale feature extraction on each image block;

[0036] S130. Determine a grayscale segmentation threshold according to the grayscale features of each image block;

[0037] S140. Perform image segmentation on the image to be segmented according to the grayscale segmentation threshold;

[0038] Wherein, the grayscale features of each image block include grayscale me...

Embodiment 2

[0057] In this embodiment, on the basis of the above embodiments, the feature scatter diagram of the image to be segmented is pre-downsampled, and the image segmentation method proposed in the above embodiments belongs to the same inventive concept, and the technical details not described in detail in this embodiment See the examples above.

[0058] Optionally, before fitting according to the characteristic scatter diagram, it also includes: downsampling the scatter points in the characteristic scatter diagram; correspondingly, performing fitting according to the characteristic scatter diagram includes: according to the downsampled Feature scatterplots were fitted.

[0059] figure 2 It is a flowchart of an image segmentation method provided by Embodiment 2 of the present invention. see figure 2 , the image segmentation method includes the following steps:

[0060] S210. Divide the image to be divided into blocks to obtain each image block;

[0061] S220. Calculating the...

Embodiment 3

[0071] In this embodiment, on the basis of the above embodiments, the feature scatter diagram of the image to be segmented is pre-processed to remove abnormal scatter points, which belongs to the same inventive concept as the image segmentation method proposed in the above embodiments, and is not described in detail in this embodiment. For technical details, refer to the above-mentioned embodiments.

[0072] Optionally, before fitting according to the characteristic scatter diagram, it also includes: removing abnormal scatter points in the characteristic scatter diagram; correspondingly, performing fitting according to the characteristic scatter diagram includes: removing abnormal scatter points according to The final characteristic scatter plot is fitted.

[0073] image 3 It is a flowchart of an image segmentation method provided by Embodiment 3 of the present invention. see image 3 , the image segmentation method includes the following steps:

[0074] S310. Divide the ...

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Abstract

The embodiment of the invention discloses an image segmentation method and device, a terminal and a readable medium, and the method comprises the steps: carrying out partitioning of a to-be-segmentedimage, and obtaining each image block; extracting gray features on each image block; determining a gray segmentation threshold value according to the gray features of each image block; performing image segmentation on the to-be-segmented image according to the gray segmentation threshold; wherein the gray scale features of each image block comprise a gray scale mean value and a gray scale standarddeviation. According to the image segmentation method and device, the terminal and the readable medium provided by the embodiment of the invention, the image segmentation efficiency is high, and thesegmentation effect is good.

Description

technical field [0001] Embodiments of the present invention relate to medical image processing technology, and in particular to an image segmentation method, device, terminal and readable medium. Background technique [0002] In medical image processing technology, image segmentation has always been the top priority. Among them, medical image segmentation can include the segmentation of human body and background, and the segmentation of different tissues of human body. [0003] Because medical images (especially direct digital X-ray images) involve a wide range of parts, large dose differences, and complex positioning, image segmentation operations are difficult. In the prior art, commonly used image segmentation methods include a method of segmentation based on a gray threshold. When the existing gray threshold is used for segmentation, the existing technical problems include at least: low segmentation efficiency due to complex algorithm; unreasonable selection of gray th...

Claims

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Application Information

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IPC IPC(8): G06T7/136
CPCG06T7/136
Inventor 杨乐张娜冷官冀胡扬
Owner SHANGHAI UNITED IMAGING HEALTHCARE