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
Transformasi tadahan air bebas konteks berkelajuan tinggi terkawal dan bebas pengenaan minima dicadangkan untuk pengesanan dan pembahagian berbilang objek yang cekap daripada latar belakang yang kompleks. Penanda bebas konteks diekstrak daripada imej berbilang objek berlatar belakang kompleks menggunakan pengendali perhatian yang tahan hingar. Ini menjadikan kawasan tadahan air terkawal penanda berkelajuan tinggi tanpa pembahagian berlebihan dan penggabungan wilayah. Kaedah yang dicadangkan membentangkan pelabelan terkandas penanda yang boleh mempercepatkan pembahagian perubahan tadahan air dikawal penanda dengan menghapuskan keperluan pengenaan minima. Keputusan simulasi menunjukkan bahawa kaedah yang dicadangkan boleh mengesan dan membahagikan berbilang objek dengan cekap daripada latar belakang yang kompleks sambil mengurangkan masa pembahagian berlebihan dan pengiraan.
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.
Salinan
Kyung-Seok SEO, Chang-Joon PARK, Sang-Hyun CHO, Heung-Moon CHOI, "Context-Free Marker-Controlled Watershed Transform for Efficient Multi-Object Detection and Segmentation" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 6, pp. 1392-1400, June 2001, doi: .
Abstract: A high-speed context-free marker controlled and minima imposition-free watershed transform is proposed for efficient multi-object detection and segmentation from a complex background. The context-free markers are extracted from a complex backgrounded multi-object image using a noise tolerant attention operator. These make high speed marker-controlled watershed possible without over-segmentation and region merging. The proposed method presents a marker-constrained labeling that can speed up the segmentation of the marker-controlled watershed transform by eliminating the necessity of the minima imposition. Simulation results show that the proposed method can efficiently detect and segment multiple objects from a complex background while reducing the over-segmentation and computation time.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_6_1392/_p
Salinan
@ARTICLE{e84-a_6_1392,
author={Kyung-Seok SEO, Chang-Joon PARK, Sang-Hyun CHO, Heung-Moon CHOI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Context-Free Marker-Controlled Watershed Transform for Efficient Multi-Object Detection and Segmentation},
year={2001},
volume={E84-A},
number={6},
pages={1392-1400},
abstract={A high-speed context-free marker controlled and minima imposition-free watershed transform is proposed for efficient multi-object detection and segmentation from a complex background. The context-free markers are extracted from a complex backgrounded multi-object image using a noise tolerant attention operator. These make high speed marker-controlled watershed possible without over-segmentation and region merging. The proposed method presents a marker-constrained labeling that can speed up the segmentation of the marker-controlled watershed transform by eliminating the necessity of the minima imposition. Simulation results show that the proposed method can efficiently detect and segment multiple objects from a complex background while reducing the over-segmentation and computation time.},
keywords={},
doi={},
ISSN={},
month={June},}
Salinan
TY - JOUR
TI - Context-Free Marker-Controlled Watershed Transform for Efficient Multi-Object Detection and Segmentation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1392
EP - 1400
AU - Kyung-Seok SEO
AU - Chang-Joon PARK
AU - Sang-Hyun CHO
AU - Heung-Moon CHOI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2001
AB - A high-speed context-free marker controlled and minima imposition-free watershed transform is proposed for efficient multi-object detection and segmentation from a complex background. The context-free markers are extracted from a complex backgrounded multi-object image using a noise tolerant attention operator. These make high speed marker-controlled watershed possible without over-segmentation and region merging. The proposed method presents a marker-constrained labeling that can speed up the segmentation of the marker-controlled watershed transform by eliminating the necessity of the minima imposition. Simulation results show that the proposed method can efficiently detect and segment multiple objects from a complex background while reducing the over-segmentation and computation time.
ER -