Clustering Ensemble Method for X-ray Image Data

A technology of image data and integration methods, which is applied in image data processing, image enhancement, image analysis, etc., can solve problems such as consumption, memory overflow errors, large time and memory space, etc., to reduce the difficulty of observation and reduce the requirements for memory space , time-saving effect

Active Publication Date: 2017-02-22
广州越神医疗设备有限公司
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Problems solved by technology

However, for data X-ray images, the high time complexity and space complexity of the hierarchical clustering algorithm will cause each experiment to consume a lot of time and memory space, and even cause memory overflow errors

Method used

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  • Clustering Ensemble Method for X-ray Image Data
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  • Clustering Ensemble Method for X-ray Image Data

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Embodiment

[0043] Such as figure 1 As shown, a clustering integration method for X-ray film image data includes the following steps:

[0044] S01: After preprocessing the X-ray image, obtain data from the image;

[0045] S02: Obtain the gray value G of each point in the image i,j Stored in the gray value matrix G, G i,j Represents the gray value of the i-th row and j-th column point in the image;

[0046] S03: Use the clustering integration algorithm based on the K-means improved algorithm or the hierarchical clustering-based improved algorithm to perform cluster analysis on the gray value matrix G; the main part of the K-means improved algorithm is still the K-means algorithm, and the improved part is mainly is the selection of K initial cluster centers. The improved hierarchical clustering algorithm simplifies the data in the process of data preprocessing, and divides the points with the same gray value into the same cluster first. By simplifying the number of initial clusters in a...

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Abstract

The invention discloses a method for clustering and integrating X-ray film image data, which includes the following steps: S01: after preprocessing the X-ray film image, obtain data from the image; S02: obtain the gray value of each point in the image The intensity value Gi, j is stored in the gray value matrix G, Gi, j represents the gray value of the i-th row and the j-th column point in the image; S03: Use the clustering integration algorithm based on the K-means improved algorithm or the hierarchical clustering The improved algorithm performs clustering analysis processing on the gray value matrix G; S04: Use the HGPA algorithm to perform integrated operations. The clustering integration algorithm based on the K-means improved algorithm improves the selection of K initial cluster centers. The improved hierarchical clustering algorithm simplifies the data in the data preprocessing process, and divides the points with the same gray value in the first place. In the same cluster, the maximum number of initial clusters is only 256. It can reduce the difficulty of X-ray observation and even find out foreign bodies, thereby assisting doctors in diagnosis.

Description

technical field [0001] The invention relates to a cluster integration method, in particular to a cluster integration method for X-ray film image data. Background technique [0002] With the application of various technologies in the medical field, traditional diagnostic radiology has become a basic part of medical imaging. X-ray photography is the most commonly used clinical medical examination method, which is suitable for almost any part of the human body. It has the characteristics of high spatial resolution, clear and tomographic images, and is often used as an auxiliary tool for medical diagnosis. Although X-ray films have the above advantages, the three-dimensional human body is displayed as a two-dimensional image during X-ray film imaging, so there will be overlap and distortion in the display of human organs, and its density resolution is not as good as that of CT , ultrasound and MRI. [0003] Because of the various problems above, by applying the clustering tech...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0012G06T2207/10116G06T2207/30061G06T2207/30008G06F18/2321
Inventor 徐森皋军徐秀芳徐静花小朋李先锋安晶曹瑞
Owner 广州越神医疗设备有限公司
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