  Automatically segmenting lesion area in breast ultrasound (BUS) images is a
challenging one due to its noise, speckle and artifacts. Edge-map of BUS images
also does not help because in most cases the edge-map gives no information
whatsoever. Almost all segmentation technique takes the edge-map of the image
as its first step, though there are a few algorithms that try to avoid
edge-maps as well. Improving the edge-map of breast ultrasound images
theoretically improves the chances of automatic segmentation to be more
precise. In this paper, we propose a semi-automatic technique of histogram
splitting using two pointers. Here the user only has to select two initially
guessed points denoting a circle on the region of interest (ROI). The method
will automatically study the internal histogram and split it using two
pointers. The output BUS image has improved edge-map and ultimately the
segmentation on it is better compared to regular segmentation using same
algorithm and same initialization. Also, we further processed the edge-map to
have less edge-pixels to area ratio, improving the homogeneity and the chances
of easy segmentation in the future.
