Paper Info
Title
A novel monochromatic cue for detecting regions of visual interest.
Abstract
Finding regions of interest (ROIs) is a fundamentally important problem in the area of computer vision and image processing. Previous studies addressing this issue have mainly focused on investigating chromatic cues to characterize visually salient image regions, while less attention has been devoted to monochromatic cues. The purpose of this paper is the study of monochromatic cues, which have the potential to complement chromatic cues, for the detection of ROIs in an image. This paper first presents a taxonomy of existing ROI detection approaches using monochromatic cues, ranging from well-known algorithms to the most recently published techniques. We then propose a novel monochromatic cue for ROI detection. Finally, a comparative evaluation has been conducted on large scale challenging test sets of real-world natural scenes. Experimental results demonstrate that the use of our proposed monochromatic cue yields a more accurate identification of ROIs. This paper serves as a benchmark for future research on this particular topic and a steppingstone for developers and practitioners interested in adopting monochromatic cues to ROI detection systems and methodologies.
Year
DOI
Venue
2014
10.1016/j.imavis.2014.04.001
Image and Vision Computing
Keywords
Field
DocType
Regions of interest (ROIs),Monochromatic cues,Visual attention,Taxonomy,Performance comparison of algorithms and systems
Computer vision,Monochromatic color,Pattern recognition,Chromatic scale,Ranging,Visual attention,Artificial intelligence,Computer vision and image processing,Mathematics,Salient
Journal
Volume
Issue
ISSN
32
6
0262-8856
Citations 
PageRank 
References 
0
0.34
38
Authors
4
Name
Order
Citations
PageRank
Chanho Jung122413.83
Wonjun Kim230126.50
Seungwoo Yoo3121.59
Changick Kim496364.78