Volume & Issue no: Volume 6, Issue 4, July - August 2017
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Title: |
MORPHOLOGICAL FILTERS USING SIMULATED ANNEALING TECHNIQUE |
Author Name: |
P K Kumaresan |
Abstract: |
Abstract
Nonlinear filters are becoming an increasingly popular area of
image and signal processing. They are often better than linear
filters in removing noise without distorting image features.
Among these nonlinear filters, morphological filters are one of
the most important and useful, providing an important class of
image and signal processing operators. Another well-known
class of non-linear filters is the class of rank order filters. Soft
morphological filters are a combination of morphological and
weighted rank order filters. Soft morphological filters improve
the behavior of standard morphological filters in noisy
conditions. But design methods existing for these filters tend to
be computationally intractable or require some special
knowledge. Heuristic based approach- Simulated annealing
provide a useful tool for the design and optimization of soft
morphological filters. In this paper, a new method for the soft
morphological filter design using simulated annealing is
proposed and illustrated by empirical results. It is found that the
performance of the filter is better under MSE error criterion
than MAE criterion.
Keywords: Soft Morphology, Soft Dilation, Soft Erosion,
Filter Optimization, Simulated Annealing |
Cite this article: |
P K Kumaresan , "
MORPHOLOGICAL FILTERS USING SIMULATED ANNEALING TECHNIQUE" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 6, Issue 4, July - August 2017 , pp.
033-036 , ISSN 2278-6856.
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