  The main objective of this project is to segment different breast ultrasound
images to find out lesion area by discarding the low contrast regions as well
as the inherent speckle noise. The proposed method consists of three stages
(removing noise, segmentation, classification) in order to extract the correct
lesion. We used normalized cuts approach to segment ultrasound images into
regions of interest where we can possibly finds the lesion, and then K-means
classifier is applied to decide finally the location of the lesion. For every
original image, an annotated ground-truth image is given to perform comparison
with the obtained experimental results, providing accurate evaluation measures.
