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A method and device for image segmentation

An image segmentation and image technology, which is applied in the field of image processing, can solve the problems of image inability to maintain, inaccuracy, shift edge positioning, etc., and achieve the effect of improving accuracy

Active Publication Date: 2020-12-01
NEUSOFT MEDICAL SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the binarized image cannot keep the information hidden in the small changes between pixels, which makes the position of the edge of the object of interest shift in the image (that is, the edge positioning is inaccurate), resulting in inaccurate segmentation results.

Method used

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  • A method and device for image segmentation
  • A method and device for image segmentation
  • A method and device for image segmentation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] see figure 1 , is a schematic flowchart of an image segmentation method provided in Embodiment 1. The image segmentation method comprises the following steps:

[0064] S101: Acquire an image to be segmented, where the image to be segmented includes an object to be segmented.

[0065] It should be noted that, for an unprocessed original image, if the original image includes the object to be segmented that the user wishes to segment, the entire original image can be used as the image to be segmented, or the original image can be Part of the region (for example, the region can be manually intercepted by using a drawing tool) as the image to be segmented, as long as the image to be segmented contains the object to be segmented.

[0066] It should also be noted that the image to be segmented may be a medical image or other types of images, which is not limited in this embodiment. For example, when the image to be segmented is a medical image, the object to be segmented in...

Embodiment 2

[0077] see image 3 , is a schematic flowchart of an image segmentation method provided in the second embodiment. The image segmentation method comprises the following steps:

[0078] S301: Acquire an image to be segmented, where the image to be segmented includes an object to be segmented.

[0079] It should be noted that this step S301 is the same as S101 in the above-mentioned first embodiment. For related introduction, please refer to the first embodiment, which will not be repeated here.

[0080] The following steps S302-S306 are specific implementations of S102 in the first embodiment above.

[0081] S302: Use each pixel in the image to be segmented as a target pixel, and select the target pixel in the image to be segmented by using a patch block of a preset size.

[0082] For each pixel in the image to be segmented, use a patch block (such as a square patch) of a preset size to frame each pixel in the image to be segmented, and make each pixel in The positions in th...

Embodiment 3

[0124] see Figure 8 , is a schematic flowchart of an image segmentation method provided in the third embodiment. The image segmentation method comprises the following steps:

[0125] S801: Acquire an image to be segmented, where the image to be segmented includes an object to be segmented.

[0126] It should be noted that this step S801 is the same as the step S101 in the above-mentioned first embodiment, and related introductions can be found in the first embodiment, which will not be repeated here.

[0127] S802: Denoise the image to be segmented by using shear wave denoising to obtain a denoised image to be segmented.

[0128] For the image to be segmented, in the process of collecting image data and generating the image, random disturbances of electronic devices in the image generating equipment (such as medical imaging equipment) will inevitably bring noise. Noise as a high-frequency component in the image is a difficult problem in the image processing process. It wil...

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Abstract

The present invention discloses an image segmentation method and device. The method includes a step of acquiring an image to be segmented, wherein the image to be segmented includes an object to be segmented, a step of converting the image to be segmented into an entropy image, wherein the pixel value of each pixel of the entropy image is information entropy corresponding to the pixel, a step of closing an unenclosed area of the object to be segmented in the entropy image to obtain an image before segmentation, and a step of segmenting the object to be segmented from the image before segmentation. It can be seen that the image to be segmented is converted into the entropy image by using the information entropy, then the contour closing processing is carried out on the object to be segmented in the image, with a preprocessing mode, the image contour of the object to be segmented can be enhanced, the edge position of the object to be segmented can be accurately highlighted, the image segmentation is achieved on the above basis, the object to be segmented can be more accurately segmented, and the accuracy of an image segmentation result is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image segmentation method and device. Background technique [0002] The purpose of medical image segmentation is to separate the object of interest (such as an organ) from the medical image by extracting the features of the medical image. The purpose is to analyze and calculate the anatomical, pathological, physiological, and physical information of the object of interest. , the correct segmentation results can help doctors give correct diagnostic results. Because the actual acquisition conditions of medical images are often different, resulting in very complex medical image data, which makes medical image segmentation has a certain complexity. The choice of medical image segmentation methods depends to a large extent on the particularity of the image itself, image imaging methods, and human factors (such as human body movement) and irresistible factors (su...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/187G06T7/11
CPCG06T2207/20192G06T7/11G06T7/187
Inventor 曲荣召牛阳金程
Owner NEUSOFT MEDICAL SYST CO LTD