APPLICATION OF SELECTIVE REGION GROWING ALGORITHM IN LUNG NODULE SEGMENTATION

被引：0

作者：

Bruntha, P. Malin ^{[1
]}

Rose, Jaisil D. ^{[1
]}

Shruthi, A. T. ^{[1
]}

Juliet, Glory K. ^{[1
]}

Kanimozhi, M. ^{[1
]}

机构：

[1] Karunya Inst Technol & Sci, Dept Elect Sci, Coimbatore 641114, Tamil Nadu, India

来源：

2018 4TH INTERNATIONAL CONFERENCE ON DEVICES, CIRCUITS AND SYSTEMS (ICDCS) | 2018年

关键词：

Computed Tomography; Adaptive Intensity Thresholding; Selective Region Growing; AUTOMATIC DETECTION; CAD-SYSTEM;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

An effective methodology is proposed for early detection of lung cancer using computed tomography. A detailed literature survey and real time happenings led to capture the abnormal nodules. Initially, gaussian filter was used in pre-processing to remove noise. For segmenting lung parenchyma, an adaptive intensity thresholding method was used. To detect nodules, morphological operation as well as selective region growing algorithm was used. The abnormal nodules were detected by filtering the segmented image based on area.

引用

页码：319 / 322

页数：4

共 9 条

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