The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam makalah ini, kami membentangkan pengesan tepi penapis berjujukan alternatif yang lebih baik menggunakan penapis morfologi arah umum. Berdasarkan sifat penyingkiran hingar yang berkesan dan pemeliharaan terperinci penapis morfologi arah umum, kami menggunakan penapis ini untuk pengesanan tepi imej bising. Prestasi pengesanan tepi dengan kehadiran hingar bercampur dinilai. Simulasi menunjukkan bahawa kaedah pengesanan tepi menggunakan penapis morfologi arah umum juga boleh meningkatkan prestasi.
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Salinan
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
Salinan
@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},}
Salinan
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 -