scholarly journals Discrete Curvature Representations for Noise Robust Image Corner Detection

2019 ◽  
Vol 28 (9) ◽  
pp. 4444-4459 ◽  
Author(s):  
Weichuan Zhang ◽  
Changming Sun ◽  
Toby Breckon ◽  
Naif Alshammari
Keyword(s):  
Corner Detection ◽  
Discrete Curvature ◽  
Robust Image ◽  
Noise Robust

Noise-robust image fusion with low-rank sparse decomposition guided by external patch prior

2020 ◽  
Vol 523 ◽  
pp. 14-37 ◽  
Author(s):  
Huafeng Li ◽  
Xiaoge He ◽  
Zhengtao Yu ◽  
Jiebo Luo
Keyword(s):  
Image Fusion ◽  
Low Rank ◽  
Sparse Decomposition ◽  
Robust Image ◽  
Noise Robust

Multi-scale curvature product for robust image corner detection in curvature scale space

2007 ◽  
Vol 28 (5) ◽  
pp. 545-554 ◽  
Author(s):  
Xiaohong Zhang ◽  
Ming Lei ◽  
Dan Yang ◽  
Yuzhu Wang ◽  
Litao Ma
Keyword(s):  
Scale Space ◽  
Corner Detection ◽  
Multi Scale ◽  
Curvature Scale Space ◽  
Robust Image

On the Stability of Refined L-Curvature under Rotation Transformations

2010 ◽  
Vol 20-23 ◽  
pp. 401-406
Author(s):  
Bao Jiang Zhong
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Critical Role ◽  
Corner Detection ◽  
Curve Matching ◽  
Discrete Curvature ◽  
Efficient Measure ◽  
Curvature Measures ◽  
The Stability

Estimation of curvature on digital curves plays a critical role for various applications in the field of image processing and computer vision. The refined L-curvature has proven to be an efficient measure of discrete curvature for corner detection and curve matching. In this paper its stability under rotation transformations is evaluated. Experiments with comparisons to other existing curvature measures show that the refined L-curvature performs best.

Spatially Coherent Fuzzy Clustering for Accurate and Noise-Robust Image Segmentation

2013 ◽  
Vol 20 (4) ◽  
pp. 295-298 ◽  
Author(s):  
Ivana Despotovic ◽  
Ewout Vansteenkiste ◽  
Wilfried Philips
Keyword(s):  
Image Segmentation ◽  
Fuzzy Clustering ◽  
Robust Image ◽  
Noise Robust

scholarly journals Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels

2017 ◽  
Vol 63 ◽  
pp. 193-205 ◽  
Author(s):  
WeiChuan Zhang ◽  
YaLi Zhao ◽  
Toby P. Breckon ◽  
Long Chen
Keyword(s):  
Edge Detection ◽  
Gaussian Kernels ◽  
Image Edge Detection ◽  
Image Edge ◽  
Robust Image ◽  
Noise Robust
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