Automatic Ground Glass Pattern Detection in Lung Disease using Gabor Filter

被引：1

作者：

Vijayakumari, B. ^{[1
]}

Geetha, A. ^{[1
]}

Haribashkarraj, D. ^{[1
]}

Senrayaperumal, R. ^{[1
]}

Samraj, R. Saron ^{[1
]}

机构：

[1] Kamaraj Coll Engn & Technol, Dept Elect & Commun Engn, Virudunagar 626001, India

来源：

IETE JOURNAL OF RESEARCH | 2008年 / 54卷 / 03期

关键词：

Ground-glass; Gabor filter; Computed tomography; Sensitivity; Specificity; Ground--glass detection algorithm;

D O I：

10.1080/03772063.2008.10876206

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes an approach for automatic detection of Ground glass pattern, a lung disease, from Computed Tomography (CT) and High Resolution Computed Tomography (HRCT) scans of the lung. The algorithm is based on frequency spectrum analysis of the image using Gabor filter bank. The tasks are completed in three steps: Preliminary mask formation, Peripheral mask formation and finally post processing. By these higher sensitivity and selectivity may be achieved with fast processing time. In the post processing, binary noise removal technique is used to remove noise from the detection mask.

引用

页码：249 / 254

页数：6