scholarly journals Structure‐aware multiple salient region detection and localization for autonomous robotic manipulation

2022 ◽  
Author(s):  
Sudipta Bhuyan ◽  
Debashis Sen ◽  
Sankha Deb
Keyword(s):  
Robotic Manipulation ◽  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection ◽  
Detection And Localization

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

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

Multi-scale Medical Image Segmentation Based on Salient Region Detection

2015 ◽  
pp. 624-632
Author(s):  
Yingxue Wu ◽  
Xi Zhao ◽  
Guiyang Xie ◽  
Yangkexin Liang ◽  
Wei Wang ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Medical Image ◽  
Medical Image Segmentation ◽  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection ◽  
Multi Scale

Multi-Resolution Salient Region Detection in Frequency Domain

2014 ◽  
Vol 6 (1) ◽  
pp. 60-70
Author(s):  
Yingchun Guo ◽  
Yanhong Feng ◽  
Gang Yan ◽  
Shuo Shi
Keyword(s):  
Frequency Domain ◽  
Euclidean Distance ◽  
Detection Method ◽  
Saliency Map ◽  
Normal Distribution Function ◽  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection ◽  
Proposed Model ◽  
Salient Regions

Salient region detection is a challenge problem in computer vision, which is useful in image segmentation, region-based image retrieval, and so on. In this paper we present a multi-resolution salient region detection method in frequency domain which can highlight salient regions with well-defined boundaries of object. The original image is sub-sampled into three multi-resolution layers, and for each layer the luminance and color salient features are extracted in frequency domain. Then, the significant values are calculated by using invariant laws of Euclidean distance in Lab space and the normal distribution function is used to specify the salient map in each layer in order to remove noise and enhance the correlation among the vicinity pixels. The final saliency map is obtained by normalizing and merging the multi-resolution salient maps. Experimental evaluation depicts the promising results from the proposed model by outperforming the state-of-art frequency-tuned model.

Adaptive compressed sensing of color images based on salient region detection

2019 ◽  
Vol 79 (21-22) ◽  
pp. 14777-14791
Author(s):  
Zheng Zhang ◽  
Hongbo Bi ◽  
Xiaoxue Kong ◽  
Ning Li ◽  
Di Lu
Keyword(s):  
Compressed Sensing ◽  
Color Images ◽  
Salient Region Detection ◽  
Salient Region ◽  
Region Detection
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