Efficient medical image segmentation for the visualization of lesions
Niranjan Tallapally, Ramakrishnan Sundaram · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
Image segmentation plays a crucial role in detecting cancerous lesions in breast images. Typically, the images obtained are large in dimension and it will take considerable time to run traditional image segmentation algorithms to detect and localize lesions. To increase the efficiency of the detection process, this paper develops an efficient image segmentation algorithm which limits its attention to regions where there is the possibility of lesions to exist. The image segmentation algorithm is then applied to these regions to find a threshold value. There are three primary objectives of this paper. First, to design and implement a region of interset algorithm known as the Ranking algorithm. Secondly, to identify whether the regions detected are linked using the Linkage algorithm. Thirdly, to apply the image segmentation algorithm (Otsu algorithm) to these regions to obtain a threshold value. This threshold value is then used for global image segmentation.