Salient object detection using local, global and high contrast graphs

Fatemeh Nouri; Kamran Kazemi; Habibollah Danyali

doi:10.1007/s11760-017-1205-5

ScienceGate Book Chapters

JOURNAL ARTICLE

Salient object detection using local, global and high contrast graphs

Fatemeh Nouri Kamran Kazemi Habibollah Danyali

Year: 2017 Journal: Signal Image and Video Processing Vol: 12 (4)Pages: 659-667 Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-017-1205-5

Get Full-Text PDF Get Analytical Report

Keywords:

Salient Contrast (vision) Artificial intelligence Computer science Pattern recognition (psychology) Graph Object (grammar) Enhanced Data Rates for GSM Evolution Matrix (chemical analysis) Theoretical computer science

Metrics

Cited By

0.38

FWCI (Field Weighted Citation Impact)

Refs

0.65

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

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Olfactory and Sensory Function Studies

Life Sciences → Neuroscience → Sensory Systems

Salient object detection using local, global and high contrast graphs

Metrics

Citation History

Topics

Related Documents

Salient object detection via multi-scale local-global superpixel contrast

A multiscale superpixel-level salient object detection model using local-global contrast cue

Salient object detection via global contrast graph

Salient Object Detection Using Regional Contrast

Multi-Scale Global Contrast CNN for Salient Object Detection