Title :
A symmetric convexity measure
Author :
Rosin, Paul L. ; Mumford, Christine L.
Author_Institution :
Cardiff Sch. of Comput. Sci., Cardiff Univ., UK
Abstract :
A new area-based convexity measure for polygons is described. It has the desirable properties that it is not sensitive to small boundary defects, and it is symmetric with respect to intrusions and protrusions. The measure requires a maximally overlapping convex polygon, and this is efficiently estimated using a genetic algorithm. Examples of the measures application to medical image analysis are shown.
Keywords :
genetic algorithms; image classification; medical image processing; shape measurement; area-based convexity measure; genetic algorithm; maximally overlapping convex polygon; medical image analysis; small boundary defects; symmetric convexity measure; Area measurement; Arm; Biomedical imaging; Character generation; Computer science; Genetic algorithms; Image analysis; Image segmentation; Robustness; Shape measurement;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333693
