A Hybrid Approach Based Segmentation Technique for Brain Tumor in MRI Images

Anithadevi D,Perumal K

doi:10.5121/sipij.2016.7103

Abstract

Automatic image segmentation becomes very crucial for tumor detection in medical image processing. Manual and semi automatic segmentation techniques require more time and knowledge. However these drawbacks had overcome by automatic segmentation still there needs to develop more appropriate techniques for medical image segmentation. Therefore, we proposed hybrid approach based image segmentation using the combined features of region growing and threshold segmentation technique. It is followed by pre-processing stage to provide an accurate brain tumor extraction by the help of Magnetic Resonance Imaging (MRI). If the tumor has holes in it, the region growing segmentation algorithm can’t reveal but the proposed hybrid segmentation technique can be achieved and the result as well improved. Hence the result used to made assessment with the various performance measures as DICE, Jaccard similarity, accuracy, sensitivity and specificity. These similarity measures have been extensively used for evaluation with the ground truth of each processed image and its results are compared and analyzed.

Highlights

Hybrid Segmentation technique integrating two or more techniques which is efficiently giving better results than the segmentation algorithms working alone
The result of hybrid segmentation technique is compared with the combinations of region growing and threshold segmentation techniques
1st row images are the output of region growing segmentation, 2nd row represents the result of threshold segmentation, and 3rd row shows the result of hybrid segmentation

Summary

Introduction

Hybrid Segmentation technique integrating two or more techniques which is efficiently giving better results than the segmentation algorithms working alone This is all possible in the field of Image Processing, predominantly in the area of medical image segmentation [1, 2, 6 and 15]. The, proposed system mainly focused on medical imaging to extract tumor and especially in MRI images. It has high-resolution and accurate positioning of soft and hard tissues, and is especially suitable for the diagnosis of brain tumors [1, 2 and 6]. This type of imaging is more suitable to identify the brain lesions or tumor.

Methods

Results

Conclusion