Session:

Image Processing and Computer Vision
Tuesday, March 02, 2004, 10.30 – 10.50

Session Chair:

D. Linkens

Paper Title:

Ovarian Ultrasound Image Enhancement By Pseudocolouring

Author(s):

U. Kalthum Ngah, Universiti Sains Malaysia, Malaysia
N. Saidin, Universiti Sains Malaysia, Malaysia
Y. Mashor, Universiti Sains Malaysia, Malaysia

Abstract:

Image processing may be employed on ovarian ultrasound images to assist doctors in diagnostic analysis. The gray levels of ovarian images are usually concentrated at the zero end of the spectrum, making the image too low in contrast and too dark for the naked eye. This paper examines the effectiveness in displaying gray level ultrasound images as colour images and proposes a pseudocolouring approach for enhancing features in ultrasound ovarian image, which allows easy discrimination of texture information. A combination of the pseudocolouring method with other image enhancement manipulations such as contrast stretching and seed based region growing was also investigated. The combination of the pseudocolouring approaches with the other image enhancement techniques can dramatically increase the information in ovarian ultrasound.

Keyword:
Ultrasound, medical imaging, image enhancement, pseudocolouring