A new method for brain tumor segmentation based on watershed and edge detection algorithms in HSV colour model

Author

Maiti, I. ; Chakraborty, Manali

Author_Institution

Sch. of Bio-Sci. & Eng., Jadavpur Univ., Kolkata, India

fYear

2012

fDate

21-22 Nov. 2012

Firstpage

1

Lastpage

5

Abstract

In this work a new method for brain tumor detection is developed. For this purpose watershed method is used in combination with edge detection operation. It is a color based brain tumor detection algorithm using color brain MRI images in HSV color space. The RGB image is converted to HSV color image by which the image is separated in three regions hue, saturation, and intensity. After contrast enhancement watershed algorithm is applied to the image for each region. Canny edge detector is applied to the output image. After combining the three images final brain tumor segmented image is obtained. The algorithm has been applied on twenty brain MRI images. The developed algorithm has given promising results.

Keywords

biomedical MRI; brain; edge detection; image colour analysis; image enhancement; image segmentation; medical image processing; tumours; Canny edge detector; HSV color space; HSV colour model; RGB image; color brain MRI images; color-based brain tumor detection algorithm; contrast enhancement watershed algorithm; edge detection algorithms; image separation; output image; three regions hue; watershed-based brain tumor segmentation; Brain modeling; Image color analysis; Image edge detection; Image segmentation; Mathematical model; Transforms; Tumors; HSV color model; MRI; brain tumor; canny edge detector; segmentation; watershed;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing and Communication Systems (NCCCS), 2012 National Conference on

Conference_Location

Durgapur

Print_ISBN

978-1-4673-1952-2

Type

conf

DOI

10.1109/NCCCS.2012.6413020

Filename

6413020