Improved Watershed Transform for Medical Image Segmentation Using Prior Information
The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to medical image analysis, it has important drawbacks. They present an improvement to the watershed transform that enables the introduction of prior information in its calculation. We propose to introduce this information via the use of a previous probability calculation. Furthermore, they introduce a method to combine the watershed transform and atlas registration, through the use of markers.