| dc.contributor.advisor | Borkar, Vivek S | |
| dc.contributor.author | Uma, K | |
| dc.date.accessioned | 2025-10-15T11:09:18Z | |
| dc.date.available | 2025-10-15T11:09:18Z | |
| dc.date.submitted | 1992 | |
| dc.identifier.uri | https://etd.iisc.ac.in/handle/2005/7187 | |
| dc.description.abstract | A new stochastic algorithm for edge detection has been presented. This algorithm is based on time-homogeneous Markov chains with the same kind of transition probabilities as in Monte Carlo algorithms and is inherently sequential in nature. The study includes a survey of classical edge detection techniques and stochastic techniques based on simulated annealing.
A parallel algorithm has also been developed and has been shown to be asymptotically equivalent to the sequential algorithm. Experiments which demonstrate the efficacy of these algorithms for edge detection of two-dimensional images (in the absence as well as presence of additive noise) are presented. | |
| dc.language.iso | en_US | |
| dc.relation.ispartofseries | T03244 | |
| dc.rights | I grant Indian Institute of Science the right to archive and to make available my thesis or dissertation in whole or in part in all forms of media, now hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation | |
| dc.subject | Monte Carlo Methods | |
| dc.subject | Simulated Annealing | |
| dc.subject | Parallel Edge Detection | |
| dc.title | A Stochastic dynamical system for edge detection | |
| dc.type | Thesis | |
| dc.degree.name | MSc Engg | |
| dc.degree.level | Masters | |
| dc.degree.grantor | Indian Institute of Science | |
| dc.degree.discipline | Engineering | |
