scholarly journals Superpixel Segmentation Based on Global Similarity and Contour Region Transform

2020 ◽  
Vol E103.D (3) ◽  
pp. 716-719
Author(s):  
Bing LUO ◽  
Junkai XIONG ◽  
Li XU ◽  
Zheng PEI
Keyword(s):  
Superpixel Segmentation ◽  
Global Similarity ◽  
Contour Region

scholarly journals Superpixel Segmentation Based on Anisotropic Edge Strength

2019 ◽  
Vol 5 (6) ◽  
pp. 57 ◽  
Author(s):  
Gang Wang ◽  
Bernard De Baets
Keyword(s):  
Distance Measure ◽  
Saliency Detection ◽  
Experimental Results ◽  
Segmentation Method ◽  
Superpixel Segmentation ◽  
Gaussian Kernels ◽  
First Derivative ◽  
Edge Strength

Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels. The kernels can capture the position, direction, prominence, and scale of the edge to be detected. We incorporate the anisotropic edge strength into the distance measure between neighboring superpixels, thereby improving the performance of an existing graph-based superpixel segmentation method. Experimental results validate the superiority of our method in generating superpixels over the competing methods. It is also illustrated that the proposed superpixel segmentation method can facilitate subsequent saliency detection.

Adaptive Centroid Placement Based SNIC for Superpixel Segmentation

2020 ◽  
Author(s):  
Janith Bandara Senanayaka ◽  
Dilshan Thilanka Morawaliyadda ◽  
Shehan Tharuka Senarath ◽  
Roshan Indika Godaliyadda ◽  
Mervyn Parakrama Ekanayake
Keyword(s):  
Superpixel Segmentation

scholarly journals Global-Similarity Local-Salience Network for Traffic Weather Recognition

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 4607-4615
Author(s):  
Tingzhao Yu ◽  
Qiuming Kuang ◽  
Junnan Hu ◽  
Jiangping Zheng ◽  
Xiaoyong Li
Keyword(s):  
Salience Network ◽  
Global Similarity

scholarly journals Image stitching by line-guided local warping with global similarity constraint

2018 ◽  
Vol 83 ◽  
pp. 481-497 ◽  
Author(s):  
Tian-Zhu Xiang ◽  
Gui-Song Xia ◽  
Xiang Bai ◽  
Liangpei Zhang
Keyword(s):  
Image Stitching ◽  
Global Similarity

On Trees and Triviality Traps: Locating the Debate on the Contribution of Cognitive Mapping to Organizational Research

2002 ◽  
Vol 23 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Kevin Daniels ◽  
Gerry Johnson
Keyword(s):  
Cognitive Mapping ◽  
Cognitive Maps ◽  
Organizational Research ◽  
Similarity Ratings ◽  
Research Questions ◽  
Global Similarity

In his critique of Daniels et al. (2002), Hodgkinson (2001a) raises a number of issues concerning the use and comparison of ideographic cognitive maps. Hodgkinson claims that there are problems associated with global similarity ratings, and that ideographic methods should be replaced by methods that have some nomothetic component. In reply, we show that the specific issues raised by Hodgkinson are not at all problematic in the context of the research questions addressed by Daniels et al. We examine Hodgkinson's proposed alternative and explain why it would not be appropriate for the questions addressed by Daniels et al. We then argue that Hodgkinson' s approach, far from being a panacea for problems in cognitive mapping research, will deflect from the issues of real debate in this area.

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