Image Saliency Detection Based on Graph and Multi-Feature Diffusion

Yingying Zhang; Hongwei Ge

doi:10.3788/LOP57.041020

Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041020(2020)

Image Saliency Detection Based on Graph and Multi-Feature Diffusion

Yingying Zhang^* and Hongwei Ge

Engineering Laboratory of Pattern Recognition and Computational Intelligence, School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu, 214122, China

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Abstract Get PDF(in Chinese)

Results

on multiple datasets show that the proposed method achieves superior performance compared with 10 algorithms proposed in recent years.

Keywords

center prior compactness image processing local contrast saliency

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Yingying Zhang, Hongwei Ge. Image Saliency Detection Based on Graph and Multi-Feature Diffusion[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041020

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Paper Information

Category: Image Processing

Received: Oct. 8, 2019

Accepted: Nov. 11, 2019

Published Online: Feb. 20, 2020

The Author Email: Zhang Yingying (zyy1916575@163.com)

DOI:10.3788/LOP57.041020

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology