Title :
Multiscale image factorization
Author :
Johnson, John L. ; Padgett, Mary Lou ; Friday, William A.
Author_Institution :
Res. Dev. & Eng. Center, US Army Missile Command, Redstone Arsenal, AL, USA
Abstract :
A new hierarchical image decomposition is described which resolves an image into a set of image product factors. The set is ordered in scale from coarse to fine image detail. When the factored set is multiplied together it reproduces the original image. By selecting factors, coarse scene elements such as shadows and fine scene factors such as noise, can be isolated. The scale of detail is controlled by the linking strength of a pulse coupled neural network, on which the system is based
Keywords :
image segmentation; neural nets; synchronisation; coarse image; fine image; hierarchical image decomposition; image product factors; multiscale image factorization; pulse coupled neural network; Biological system modeling; Fires; Image processing; Joining processes; Layout; Neural networks; Optical arrays; Pulse generation; Pulse modulation; Signal processing;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614011
