GEOMETRIC AND INFORMATION CONSTRAINTS FOR AUTOMATIC LANDMARK SELECTION IN COLPOSCOPY SEQUENCES
Juan D. García‐Arteaga, Jan Kybic, Jia Gu, Wen J. Li · 2007
Colposcopy is a diagnostic method to visually detect cancerous and pre-cancerous tissue regions in the uterine cervix. A typical result is a sequence of cervical images captured at different times after the application of a contrast agent that must be spatially registered to compensate for patient, camera and tissue movement and on which progressive color and texture changes may be seen. We present a method to automatically select correct landmarks for non-consecutive sequence frames captured at long time intervals from a group of candidate matches. Candidate matches are extracted by detecting and matching feature points in consecutive images. Selection is based on geometrical constraints and a local rigid registration using Mutual Information. The results show that these landmarks may be subsequently used to either guide or evaluate the registration of these type of images.