Paradigm for shape-based image analysis
William E. Higgins · Optical Engineering · 1998
Traditional image segmentation techniques typically divide an image into separate regions based on grayscale characteristics. Most real-world image-segmentation problems, however, require some subsequent shape-based processing to yield acceptable results. Unfortunately, choosing an appropriate sequence of image-processing operators (a process) for this purpose can be a time-consuming, tedious procedure that requires considerable image-processing expertise. We describe a semi-automatic paradigm for selecting shape-based operations for an image-analysis process. Desired shape information for image regions is provided by the user in the form of easily-specified cues. The cues are then automatically interpreted to select suitable image-processing operators and operator parameters