Paper Info
Title
Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision.
Abstract
•We developed an optimized saliency segmentation method for automatically extracting the object of interest.•Two image processing strategies were further presented for enhancing the object of interest.•Both strategies improved object recognition performance in low-resolution prosthetic vision.•Object recognition would be affected by object segmentation under simulated prosthetic vision.•Under low-resolution prosthetic vision, the paired-interrelated objects had a positive impact on recognition.
Year
DOI
Venue
2018
10.1016/j.artmed.2017.11.001
Artificial Intelligence in Medicine
Keywords
Field
DocType
Visual prosthesis,Simulated prosthetic vision,Saliency segmentation,Image processing strategy,Objects recognition
Computer vision,Facial recognition system,Segmentation,Computer science,Salience (neuroscience),GrabCut,Image processing,Artificial intelligence,Visual perception,Grayscale,Cognitive neuroscience of visual object recognition
Journal
Volume
ISSN
Citations 
84
0933-3657
1
PageRank 
References 
Authors
0.39
16
7
Name
Order
Citations
PageRank
Heng Li152.10
Xiaofan Su210.39
Jing Wang362.11
Han Kan410.39
Tingting Han524819.06
Yajie Zeng610.39
Xinyu Chai751.76