G-banded adherent chromosome segmentation method based on geometrical features and region fusion is proposed
A technology of geometric feature and region fusion, applied in the field of image processing
Inactive Publication Date: 2019-01-04
HUNAN ZIXING INTELLIGENT MEDICAL TECH CO LTD
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[0079] Now further elaborate the present invention in conjunction with specific implementation example and accompanying drawing:
[0080] (1) Read in a cohesive chromosome image, as attached figure 1 , record as I1;
[0081] (2) Perform binary segmentation on I1 to get the attached image 3 Denote it as I2;
[0082] (3) Extract the contour of I2, and calculate the concave point to obtain the contour and concave point of the I1 chromosome region, as shown in the attached Figure 5 , where the lines are the contour marks of the chromosome regions, and the pits are marked by circles;
[0083] (4) I1 is segmented by the segmentation method of the present invention, and the segmentation result is as attached Figure 7 shown.
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The invention discloses a G-banded adherent chromosome segmentation method based on geometrical feature and region fusion, At first, that concave point of the region outline of the adherent chromosomeare extracted, then the image of the adherent chromosome is cut by a cutting line for by two concave points, and finally, the local region aft the cutting is fused, and the most suitable region is selected as the final single chromosome region. The invention realizes automatic division of adherent chromosomes and improves the efficiency of chromosome karyotype analysis.
Description
Technical field: [0001] The invention relates to a G-banding cohesive chromosome segmentation method based on geometric features and region fusion, belonging to the field of image processing. Background technique: [0002] Karyotype analysis is an important medical diagnosis method in related reproductive and genetics specialized hospitals. At present, with the development of computer image processing technology, various novel image processing algorithms for chromosome images emerge in an endless stream. All these methods are basically aimed at improving and improving the original software system that mainly relies on manual assistance for chromosome image processing. [0003] Segmentation of cohesive chromosome images is still a difficult problem before karyotype analysis. Due to the flexibility of the chromosome itself, the chromosomes after preparation have cohesive diversity. The basic forms of cohesive chromosomes are roughly: light contact cohesion, heavy cohesion, c...
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IPC IPC(8): G06T7/00G06T7/11
CPCG06T7/0012G06T7/11G06T7/60G06V20/695G01N33/48
Inventor 林戈丰生日卢光琇蔡昱峰谭跃球穆阳李仪蔡自兴
Owner HUNAN ZIXING INTELLIGENT MEDICAL TECH CO LTD