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A Contour Smoothing Method Based on Freeman Chain Code in Medical Image Segmentation

A medical image and chain code technology, applied in the field of contour smoothing, can solve problems such as unfavorable image registration and recognition, inconsistent with visual habits, and image processing effects.

Active Publication Date: 2019-12-20
TIANJIN UNIV
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  • Application Information

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Problems solved by technology

However, in the existing region of interest extraction process, the contours of tissues or organs in medical images often show abnormal jagged and granulated phenomena, that is, local bulges and concavities in the contours, such artifacts / errors / distortions of the contours Not only does it not conform to people's visual habits, but it usually does not conform to the medical anatomical structure, which will affect the next step of image processing, for example, it is not conducive to image registration and recognition

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  • A Contour Smoothing Method Based on Freeman Chain Code in Medical Image Segmentation
  • A Contour Smoothing Method Based on Freeman Chain Code in Medical Image Segmentation
  • A Contour Smoothing Method Based on Freeman Chain Code in Medical Image Segmentation

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Embodiment Construction

[0019] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0020] Step 1: For a digitized image, remove the surrounding edge pixels, and each pixel in the middle part has eight "neighboring pixels". These eight "neighboring pixels" start from the right and are marked as {0, 1, 2 counterclockwise. ,3,4,5,6,7}, representing the eight directions around the pixel, such as figure 2 shown. A curve is discretized by the grid to form n chains, and the chain code of this curve can be expressed as {c(i)} n , each chain points to one of these eight directions, c(i)∈{0,1,…7}, i is the index value of the pixel, c(i) is from pixel (i) to pixel (i+1 ) direction chain code. Expressing the curve in this form is the Freeman chain code.

[0021] Such as image 3 As shown, an MRI tomographic image of a human upper limb is taken as an example for illustration. Figure 4 It is the region of interest obtained by using the manual watersh...

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Abstract

The invention discloses a contour smoothing method based on Freeman chain code in medical image segmentation, which includes: using algorithms such as manual watershed to extract target tissues or organs as regions of interest, and then obtaining the single-pixel outer contour curve of the region; performing Freeman chain Code encoding; look for the "chain code segment to be repaired"; repair the "chain code segment to be repaired": first determine the relative displacement (dx, dy) of its head and tail chain code elements, and then determine the direction of the Freeman chain code in front of the rectangular window. The two main directions of the repaired new chain code; according to the selected two main directions and the relative displacement (dx, dy), the number of the two main directions of the Freeman chain code is obtained by solving simultaneously; finally, the number of the main directions of the two Freeman chain codes is obtained; finally, the number of the main directions of the two Freeman chain codes is obtained according to the solution results. New chaincode segment for repair; further repairs if necessary.

Description

technical field [0001] The invention relates to a contour smoothing method in the segmentation process of bones, viscera and tissues in medical images, in particular to the contour smoothing operation using Freeman chain codes. Background technique [0002] In the related processing of medical images, it is usually necessary to extract and segment regions of interest, such as the extraction of liver and bone. Commonly used methods include threshold method, watershed algorithm, flood filling method, etc. After obtaining the region of interest, Freeman chain code can be used to store the contour information of the region. However, in the existing region of interest extraction process, the contours of tissues or organs in medical images often show abnormal jagged and granulated phenomena, that is, local bulges and concavities in the contours, such artifacts / errors / distortions of the contours Not only does it not conform to people's visual habits, but it also generally does not...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00G06T7/13
CPCG06T7/0012G06T2207/10088G06T2207/30004G06T5/70
Inventor 曹玉珍郭怡湘余辉张力新苗春发邓勇时尧
Owner TIANJIN UNIV
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