Publication: Exploring image processing techniques for ultrasound images
Date
2009-04-01
Authors
Abdul Aziz, Nor Hidayah
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Abstract
Image segmentation is one of the image processing techniques. It is also one of the basic steps for ultrasound image analysis and medical diagnosis. However due to the intrinsic noisy nature, it remains to be a very difficult problem in order to detect the breast cancer and any other disease. An image segmentation method based on watershed transform is representing in this study. Watershed transform provides a simple way to get one pixel wide and closed boundaries for ultrasound images. The effectiveness of purpose scheme is demonstrated through experimental result on ultrasound images. The purpose of this study is to detect the breast cancer using ultrasound image and improve the images using watershed transform. The results show that the purpose method is capable to get the segmentation in the breast cancer ultrasound images, but with using this method, the image usually leads to over segmentation and need to do some improvement in the future to get more quality images.