Paper Info
Title
Adaptive-Threshold Region Merging via Path Scanning
Abstract
Region merging algorithms commonly produce results that are seen to be far below the current commonly accepted state-of-the-art image segmentation techniques. The main challenging problem is the selection of an appropriate and computationally efficient method to control resolution and region homogeneity. In this paper we present a region merging algorithm that includes a semi-greedy criterion and an adaptive threshold to control segmentation resolution. In addition we present a new relative performance indicator that compares algorithm performance across many metrics against the results from human segmentation. Qualitative (visual) comparison demonstrates that our method produces results that outperform existing leading techniques.
Year
DOI
Venue
2014
10.1109/ICPR.2014.173
ICPR
Keywords
DocType
ISSN
adaptive-threshold region merging algorithm,image segmentation techniques,segmentation resolution control,human segmentation,image resolution,image segmentation,relative performance indicator,semigreedy criterion,region homogeneity,path scanning
Conference
1051-4651
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Gaurav Gupta1147.06
Alexandra Psarrou219927.14