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Medical image lossless compression method based on boundary extraction

A lossless compression, medical imaging technology, applied in image analysis, image coding, image data processing, etc., can solve the problems of short transmission time, small storage space consumption, etc., to save transmission time, small storage space consumption, and ensure restoration sexual effect

Active Publication Date: 2015-11-18
JILIN UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method of lossless compression of medical images based on boundary extraction, which solves the pressure on the network and storage caused by the increasing number of medical images, and uses the calculation amount of the terminal in exchange for shorter transmission time and less storage space consumption

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  • Medical image lossless compression method based on boundary extraction
  • Medical image lossless compression method based on boundary extraction
  • Medical image lossless compression method based on boundary extraction

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Embodiment Construction

[0030] The detailed content of the present invention and its specific implementation will be further described below in conjunction with the accompanying drawings.

[0031] see Figure 1 to Figure 3 As shown, the medical image lossless compression method based on boundary extraction of the present invention is to extract all the edges in the medical image layer by layer, and store the boundary and the inclusion relationship between the boundaries, so as to achieve lossless compression of the image while storing. Compression, the specific steps are as follows:

[0032] (1) Read DICOM medical images and extract file headers;

[0033] (2) Extract the boundary;

[0034] (2.1) Scan the pixel points, find the first pixel point that is different from the background pixel, and name it point 1;

[0035] (2.2) In the upper left, upper, upper right, right, lower right, lower, lower left, and left eight positions of point 1, search whether there is a pixel point exactly the same as poi...

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Abstract

The invention relates to a medical image lossless compression method based on boundary extraction, which belongs to the field of computer image processing. The medical image lossless compression method based on boundary extraction comprises the steps of extracting all boundaries exist in a medical image at first, and storing relative positions of boundary points by adopting a bit operation manner. The medical image lossless compression method has the advantages that a compression ratio of the image is increased aiming at features that the medical image is a grey-scale map and contour hierarchy is clear, and each step of the method is reversible, thereby ensuring recoverability of compression. The medical image lossless compression method based on boundary extraction can alleviate pressure on storage as well as pressure on network caused by increasing number of medical images fundamentally.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a method for lossless compression of medical images based on boundary extraction. It is a lossless and reversible image compression method with a high compression ratio for the characteristics of medical images. Background technique [0002] With the advent of digitalization and networking era, digitalization and networking in the medical field have become an inevitable trend. Nowadays, digital medical imaging has also been widely popularized. However, with the continuous increase in the number of medical imaging, and medical imaging itself Occupying too much memory will not only put pressure on the storage, but also put pressure on the network during the transmission process. At the same time, it will cause the digital medical image query system to freeze due to concurrent visits by multiple doctors. Therefore, how to fundamentally simultaneously Solving the pressure ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00G06T7/00
Inventor 胡亮初剑峰韩虹莹
Owner JILIN UNIV
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