T. Simchony
University of Southern California
4 Papers
32 Citations
T. Simchony is an academic researcher from University of Southern California. The author has contributed to research in topics: Segmentation & Maximum a posteriori estimation. The author has an hindex of 4, co-authored 4 publications.
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Papers
Direct analytical methods for solving Poisson equations in computer vision problems
TL;DR: Direct analytical methods are discussed for solving Poisson equations of the general form Delta u=f on a rectangular domain and experiments indicate that results comparable to those using multigrid can be obtained in a very small number of iterations.
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Stochastic and deterministic networks for texture segmentation
TL;DR: Several texture segmentation algorithms based on deterministic and stochastic relaxation principles, and their implementation on parallel networks, are described, and results of the various schemes in classifying some real textured images are presented.
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Texture segmentation with neural networks
Rama Chellappa,B.S. Manjunath,T. Simchony +2 more
- 03 Jan 1992
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Stochastic relaxation for MAP restoration of gray level images with multiplicative noise
H. Jinchi,T. Simchony,Rama Chellappa +2 more
- 01 Apr 1987
TL;DR: This paper is concerned with developing alagorithms for maximum a posteriori (MAP) restoration of gray level images degraded by multiplicative noise and generates a sequence of images which converges in probability to the global MAP estimate.
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