An advanced segmentation using bit-plane slicing technique in extraction of lungs region

T. Kiran, G. Kwon
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引用次数: 2

Abstract

This paper presents the new method for the segmentation of pulmonary parenchyma. The proposed method is based on the bit-plane slicing technique. The original image is binarized using the bit-plane technique and among the different images the best binarized image is chosen. After the image is binarized, the labeling is done and the area of each label is calculated from which we obtained the next level of binarized image. Then the boundary tracing algorithm is applied to get the binarized image. The following steps show the automatic extraction of lungs area and experimental results has proved it's significant.
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一种基于位平面切片技术的肺区域提取的高级分割方法
本文提出了一种新的肺实质分割方法。该方法基于位平面切片技术。利用位平面技术对原始图像进行二值化,并在不同的图像中选择二值化效果最好的图像。图像二值化后,进行标记,并计算每个标签的面积,从中获得下一级二值化图像。然后应用边界跟踪算法得到二值化后的图像。下面是肺面积的自动提取步骤,实验结果证明了它的显著性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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