BOOK-CHAPTER

Ant-Inspired Visual Saliency Detection in Image

Abstract

Visual saliency detection aims to produce saliency map of images via simulating the behavior of the human visual system (HVS). An ant-inspired approach is proposed in this chapter. The proposed approach is inspired by the ant’s behavior to find the most saliency regions in image, by depositing the pheromone information (through ant’s movements) on the image to measure its saliency. Furthermore, the ant’s movements are steered by the local phase coherence of the image. Experimental results are presented to demonstrate the superior performance of the proposed approach.Request access from your librarian to read this chapter's full text.

Keywords:
Artificial intelligence Computer science Saliency map Computer vision Image (mathematics) ANT Coherence (philosophical gambling strategy) Visualization Human visual system model Measure (data warehouse) Pattern recognition (psychology) Mathematics Data mining

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Topics

Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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