Salient region detection Using Wasserstein distance measure based on nonlinear scale space

2013 ◽  
Author(s):  
Lei Zhu ◽  
Zhiguo Cao
Keyword(s):  
Distance Measure ◽  
Scale Space ◽  
Wasserstein Distance ◽  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection ◽  
Nonlinear Scale Space ◽  
Nonlinear Scale

Anisotropic-Scale-Space-Based Salient-Region Detection for SAR Images

2016 ◽  
pp. 1-5 ◽  
Author(s):  
Qiang Zhang ◽  
Yan Wu ◽  
Fan Wang ◽  
Jianwei Fan ◽  
Lei Zhang ◽  
...  
Keyword(s):  
Scale Space ◽  
Sar Images ◽  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection

scholarly journals Scale space clustering evolution for salient region detection on 3D deformable shapes

2017 ◽  
Vol 71 ◽  
pp. 414-427 ◽  
Author(s):  
Xupeng Wang ◽  
Ferdous Sohel ◽  
Mohammed Bennamoun ◽  
Yulan Guo ◽  
Hang Lei
Keyword(s):  
Scale Space ◽  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection ◽  
Deformable Shapes

Efficient 3D mesh salient region detection using local homogeneity measure

2018 ◽  
Vol 12 (9) ◽  
pp. 1663-1672 ◽  
Author(s):  
Abdul Rahman El Sayed ◽  
Abdallah El Chakik ◽  
Hassan Alabboud ◽  
Adnan Yassine
Keyword(s):  
Salient Region Detection ◽  
3D Mesh ◽  
Local Homogeneity ◽  
Salient Region ◽  
Region Detection

scholarly journals Real-time FPGA-based implementation of the AKAZE algorithm with nonlinear scale space generation using image partitioning

2021 ◽  
Author(s):  
Parastoo Soleimani ◽  
David W. Capson ◽  
Kin Fun Li
Keyword(s):  
Real Time ◽  
Memory Management ◽  
Scale Space ◽  
Image Resolution ◽  
Hardware Architecture ◽  
Frame Rate ◽  
Time Sharing ◽  
Scale Invariant ◽  
Nonlinear Scale Space ◽  
Nonlinear Scale

AbstractThe first step in a scale invariant image matching system is scale space generation. Nonlinear scale space generation algorithms such as AKAZE, reduce noise and distortion in different scales while retaining the borders and key-points of the image. An FPGA-based hardware architecture for AKAZE nonlinear scale space generation is proposed to speed up this algorithm for real-time applications. The three contributions of this work are (1) mapping the two passes of the AKAZE algorithm onto a hardware architecture that realizes parallel processing of multiple sections, (2) multi-scale line buffers which can be used for different scales, and (3) a time-sharing mechanism in the memory management unit to process multiple sections of the image in parallel. We propose a time-sharing mechanism for memory management to prevent artifacts as a result of separating the process of image partitioning. We also use approximations in the algorithm to make hardware implementation more efficient while maintaining the repeatability of the detection. A frame rate of 304 frames per second for a $$1280 \times 768$$ 1280 × 768 image resolution is achieved which is favorably faster in comparison with other work.

Exploiting Surroundedness and Superpixel cues for salient region detection

2020 ◽  
Vol 79 (15-16) ◽  
pp. 10935-10951
Author(s):  
Yifeng Jiang ◽  
Shan Chang ◽  
Enxing Zheng ◽  
Linna Hu ◽  
Ranran Liu
Keyword(s):  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection
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