A COMPARISON OF IMAGE SEGMENTATION TECHNIQUES, OTSU AND WATERSHED FOR X-RAY IMAGES

P. Manju Bhargavi, V. Sai Kiran Mayee, T. Manaswini, S. Manvitha

Abstract: The most dangerous and rapidly spreading disease in the world is Tuberculosis. In the investigating for suspected tuberculosis (TB), chest radiography is the only key techniques of diagnosis based on the medical imaging So, Computer aided diagnosis (CAD) has been popular and many researchers are interested in this research areas and different approaches have been proposed for the TB detection. Image segmentation plays a great importance in most medical imaging, by extracting the anatomical structures from images. There exist many image segmentation techniques in the literature, each of them having their own advantages and disadvantages. The aim of X-ray segmentation is to subdivide the image in different portions, so that it can help during the study the structure of the bone, for the detection of disorder. The goal of this paper is to review the most important image segmentation methods starting from a data base composed by real X-ray images.

Keywords: chest radiography, computer aided diagnosis, image segmentation, anatomical structures, real X-rays.

DOI: https://doi.org/10.15623/ijret.2015.0404124