JOURNAL ARTICLE

Visual saliency detection in image using ant colony optimisation and local phase coherence

Long MaJing TianWing-Yin Yu

Year: 2010 Journal:   Electronics Letters Vol: 46 (15)Pages: 1066-1068   Publisher: Institution of Engineering and Technology

Abstract

A new visual saliency detection approach is proposed. The proposed approach exploits the ant colony optimisation technique to measure the image's saliency via depositing the pheromone (through ants' movements) on the image. Furthermore, the ants' movements are steered by the local phase coherence of the image. Experimental results are presented to demonstrate the performance of the proposed approach.

Keywords:
Artificial intelligence Coherence (philosophical gambling strategy) Computer science Computer vision Exploit Ant colony optimization algorithms Image (mathematics) Visualization Measure (data warehouse) Phase congruency Phase coherence Phase (matter) Ant colony Pattern recognition (psychology) Mathematics Data mining Physics

Metrics

21
Cited By
2.88
FWCI (Field Weighted Citation Impact)
6
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Visual perception and processing mechanisms
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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