Mathematical morphology is a powerful methodology for processing and analysing the shape and form of objects in images. The advances in this area of science allow for application in the digital recognition and modeling of faces and other objects by computers. Mathematical Morphology is comprehensive work that provides a broad sampling of the most recent theoretical and practical developments in applications to image processing and analysis. Subject areas covered include: binary morphology, regularised region growing, morphological scale-space techniques, levelings, reconstruction, modeling and simulation, and applications as diverse as medicine, forestry and geology. This fascinating research will be of great interest to engineers, computer scientists, mathematicians and statisticians whose research work is focussed on the theoretical and practical aspects of non-linear image processing and analysis. The content stems from the proceedings of the VIth International Symposium on Mathematical Morphology, held April 3a5, 2002 in Sydney, Australia.Dilation / Erosion Closing / Opening White Top Hat / Black Top Hat / Top Hat Contrast Operator Hit-or-Miss Hit-or-Miss ... Reusable implementations arc necessary to characterize and compare vision algorithms, in DAGM-Workshop on anbsp;...
|Author||:||Hugues Talbot, Richard Beare|
|Publisher||:||CSIRO PUBLISHING - 2002|