Brain tumor detection in MR imaging using DW-MTM filter and region-growing segmentation approach

Abstract

Brain tumor analysis is most challenging and emerging exploration area in medical image processing. For appropriate regimen of brain tumor, early detection and scrutiny are essential. To provide better detection of tumor without affecting a normal tissue is a very difficult process. So as to amend the downsides, we propose another novel technique for brain tumor detection through magnetic resonance imaging (MRI). It is a commonly processed method for providing high-quality imaging. It provides higher details about the soft tissue of human anatomy. In this proposed method, MR image is preprocessed by optimized kernel possibilistic C-means algorithm. Then, the image is enhanced by adaptive DW-MTM filter. It helps to neglect the unwanted noise from the MRI. Finally, the image is segmented by region-growing algorithm. The segmented image is utilized for the detection and diagnoses of brain tumor in earlier stage.