Based on pre-treatment and region growing segmentation method of liver

As the traditional image segmentation methods cannot show the located targets of object clearly and accurately. The paper is based on pre-treatment and 3D region growing segmentation method of the liver. First of all, the original abdominal volume data is based on improving image edges and threshold...

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Vydáno v:2010 3rd International Congress on Image and Signal Processing Ročník 3; s. 1338 - 1341
Hlavní autoři: Zhennan Yan, Wenhan Wang, Hexin Yu, Jin Huang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2010
Témata:
Algorithm design and analysis
Image color analysis
Image edge detection
Image segmentation
improving image edges
Liver
Mathematical model
region growing algorithm
Statistical analysis
Three dimensional displays
threshold segmentation algorithm
volume data
ISBN:1424465133, 9781424465132
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Shrnutí:As the traditional image segmentation methods cannot show the located targets of object clearly and accurately. The paper is based on pre-treatment and 3D region growing segmentation method of the liver. First of all, the original abdominal volume data is based on improving image edges and thresholding segmentation algorithm which is based on statistical analysis to achieve pre-treatment; Secondly, the volume data after pre-treatment is based on volume rendering which is based on RC algorithm to achieve three-dimensional visualization of abdominal CT images; Then, based on 3D region growing algorithm for three-dimensional abdominal images of liver segmentation. Through the design of the liver segmentation experiment from abdominal CT images to validate the effectiveness of the method of the paper.
ISBN:1424465133
9781424465132
DOI:10.1109/CISP.2010.5648010