A New Medical Image Mosaic Algorithm Based on Fuzzy Sets Recognition Method

摘要

In the aspect of medical imaging, the large panoramic images can help doctors to conduct comprehensive and visual observation on the focus and the surrounding parts, so that image mosaicking has naturally become an issue which needs to be resolved intensively. This article proposed a new matching algorithm for image mosaic based on fuzzy sets recognition method to carry on regional characteristics matching combined medical imaging features. Taking perimeter, area, flat degrees, aspect ratio features as the regional characteristics, the right match point can be found with the use of fuzzy sets identification method, then a medical image mosaicking can be achieved by using eight parameter projective transformation principle and a gradual fade out of the method. On-the-spot experiments have proved that this algorithm is simple and easy to implement with strong robustness.