A Robust Segmentation Algorithm using Morphological Operators for Detection of Tumor in MRI

被引：0

作者：

Ramya, L. ^{[1
]}

Sasirekha, N. ^{[1
]}

机构：

[1] Sona Coll Technol, Dept Elect & Commun Engn, Salem, Tamil Nadu, India

来源：

2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) | 2015年

关键词：

MRI; Region growing segmentation; Brain tumor; PARTIAL-DIFFERENTIAL-EQUATIONS; IMAGES;

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：

Image Denoising and Image Segmentation are the two major areas of the medical image processing. The main objective of this paper is to develop a robust segmentation algorithm inorder to detect tumor in 2D MRI brain images. Here we use image denoising as the preprocessing step as noise plays an important role incase of accuracy of affected area of the image, especially in medical diagnostics. To denoise the image, fourth order partial differential equation is employed. A seeded region growing segmentation is used to detect the tumor in MRI brain image. Also skull removal procedure is employed using morphological operators to increase the accuracy of brain tumor detection. This method detects the tumor in the brain image efficiently and also tested for several brain tumor images.

引用

页数：4

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