Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection
Work
Year: 2012
Type: article
Abstract: Maximally stable extremal regions (MSER) is a state‐of‐the‐art method in local feature detection. However, this method is sensitive to blurring because, in blurred images, the intensity values in regi... more
Institutions Institute of Automation, Chinese Academy of Sciences, Zhejiang University of Technology
Cites: 21
Cited by: 8
Related to: 10
FWCI: 0.959
Citation percentile (by year/subfield): 86.12
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: hybrid
APC paid (est): $2,400
Grant IDS Y201018160, 2011833105