In this paper, we present improved alternative sequential filter-edge detector using generalized directional morphological filters. Based on the properties of effective noise removal and detail preservation of the generalized directional morphological filters, we apply these filters to edge detection of noisy images. The performance of the edge detection in the presence of mixed noise is evaluated. Simulations show that edge detection method using generalized directional morphological filters can also improve the performance.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Minsuk HONG, Jinsung OH, Sang-Hui PARK, "Improved Alternative Sequential Filter-Edge Detector" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 5, pp. 1352-1356, May 2001, doi: .
Abstract: In this paper, we present improved alternative sequential filter-edge detector using generalized directional morphological filters. Based on the properties of effective noise removal and detail preservation of the generalized directional morphological filters, we apply these filters to edge detection of noisy images. The performance of the edge detection in the presence of mixed noise is evaluated. Simulations show that edge detection method using generalized directional morphological filters can also improve the performance.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_5_1352/_p
Copy
@ARTICLE{e84-a_5_1352,
author={Minsuk HONG, Jinsung OH, Sang-Hui PARK, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improved Alternative Sequential Filter-Edge Detector},
year={2001},
volume={E84-A},
number={5},
pages={1352-1356},
abstract={In this paper, we present improved alternative sequential filter-edge detector using generalized directional morphological filters. Based on the properties of effective noise removal and detail preservation of the generalized directional morphological filters, we apply these filters to edge detection of noisy images. The performance of the edge detection in the presence of mixed noise is evaluated. Simulations show that edge detection method using generalized directional morphological filters can also improve the performance.},
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - Improved Alternative Sequential Filter-Edge Detector
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1352
EP - 1356
AU - Minsuk HONG
AU - Jinsung OH
AU - Sang-Hui PARK
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2001
AB - In this paper, we present improved alternative sequential filter-edge detector using generalized directional morphological filters. Based on the properties of effective noise removal and detail preservation of the generalized directional morphological filters, we apply these filters to edge detection of noisy images. The performance of the edge detection in the presence of mixed noise is evaluated. Simulations show that edge detection method using generalized directional morphological filters can also improve the performance.
ER -