The search functionality is under construction.
The search functionality is under construction.

Context-Free Marker-Controlled Watershed Transform for Efficient Multi-Object Detection and Segmentation

Kyung-Seok SEO, Chang-Joon PARK, Sang-Hyun CHO, Heung-Moon CHOI

  • Full Text Views

    0

  • Cite this

Summary :

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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.6 pp.1392-1400
Publication Date
2001/06/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Papers Selected from 2000 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2000))
Category

Authors

Keyword