An algorithm and an artificial neural architecture that approximates the algorithm are proposed for the formation of generalized skeleton transformations. The algorithm includes the original grassfire proposal of Blum and is extended with an integrative on-center off-surround detector system. It is shown that the algorithm can elicit textons by skeletonization. Slight modification of the architecture corresponds to the Laplace transformation followed by full wave rectification, another algorithm for texture discrimination proposed by Bergen and Adelson.
|Number of pages||9|
|Journal||Neural Network World|
|Publication status||Published - Jan 1 1996|
ASJC Scopus subject areas
- Hardware and Architecture
- Artificial Intelligence