In this paper, we develop a spatially-variant (SV) mathematical morphology theory for gray-level signals and images in the euclidean space. The proposed theory preserves the geomet...
Motivated by the ability of living cells to form into specific shapes and structures, we present a new approach to shape modeling based on self-organizing primitives whose behavi...
Enabling a domain expert to maintain his own knowledge in a Knowledge Based System has long been an ideal for the Knowledge Engineering community. In this paper we report on our ex...
Conventional image processing algorithms used to compare images are very timeconsuming, making them inappropriate for use in searching for an image in a huge collection of images ...
Caetano Traina Jr., Agma J. M. Traina, Rildo R. do...
Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...