Tumor Detection in Brain Magnetic Resonance Images Using Modified Thresholding Techniques

被引：0

作者：

Biji, C. L. ^{[1
]}

Selvathi, D. ^{[2
]}

Panicker, Asha ^{[1
]}

机构：

[1] Rajagiri Sch Engn & Technol, ECE Dept, Kochi, India

[2] Mepco Schlenk Engn Coll, ECE Dept, Sivakasi, India

来源：

ADVANCES IN COMPUTING AND COMMUNICATIONS, PT 4 | 2011年 / 193卷

关键词：

Segmentation; Magnetic resonance Imaging; Thresholding;

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：

Automated computerized image segmentation is very important for clinical research and diagnosis. The paper deals with two segmentation schemes namely Modified Fuzzy thresholding and Modified minimum error thresholding. The method includes the extraction of tumor along with suspected tumorized region which is followed by the morphological operation to remove the unwanted tissues. The performance measure of various segmentation schemes are comparatively analyzed based on segmentation efficiency and correspondence ratio. The automated method for segmentation of brain tumor tissue provides comparable accuracy to those of manual segmentation.

引用

页码：300 / +

页数：2

共 20 条

[1]

[Anonymous], 1981, IEEE T PATTERN ANAL, DOI DOI 10.1109/TPAMI.1981.4767147

[2]

[Anonymous], 2006, Digital Image Processing

[3] A novel approach to microcalcification detection using fuzzy logic technique [J].