An Edge Detection Approach To Digital Image Stabilization Based On Tri-state Adaptive Linear Neurons

2005 ◽  
Author(s):  
Joon Ki Paik ◽  
Yong Chul Park
Keyword(s):  
Edge Detection ◽  
Digital Image ◽  
Image Stabilization ◽  
Detection Approach

A Self-Adaptive Edge Detection Approach by Improved Isotropic Sobel and OTSU

2013 ◽  
Vol 385-386 ◽  
pp. 1495-1499 ◽  
Author(s):  
Ji Peng Huang ◽  
Shuang Qiao
Keyword(s):  
Edge Detection ◽  
High Precision ◽  
Digital Image ◽  
Threshold Value ◽  
Simulation Experiments ◽  
Image Detection ◽  
Adaptive Approach ◽  
Detection Approach ◽  
Image Edge ◽  
Self Adaptive

This paper presents a self-adaptive approach to detect the edge of target in a digital image, and the proposed approach is based on eight-direction Isotropic Sobel and OTSU. Simulation experiments in matlab show that the approach can set the threshold value of an image automatically, has high precision in image detection, good connectivity, the uniform image edge magnitude for all directions and suppresses the noise well.

scholarly journals Correct and Crisp Edge Detection Approach based on Dense Network

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Xiaohua Li ◽  
Guangxiao Niu ◽  
Xiangxiang Li ◽  
Xiaoli Wang ◽  
Gang Shi
Keyword(s):  
Edge Detection ◽  
Dense Network ◽  
Detection Approach

scholarly journals An Multi-scale Edge Detection Approach

2012 ◽  
Vol 25 ◽  
pp. 1616-1620 ◽  
Author(s):  
Chen Zhigang ◽  
Cui Yueli ◽  
Chen Aihua
Keyword(s):  
Edge Detection ◽  
Multi Scale ◽  
Detection Approach

scholarly journals An improved edge detection approach and its application in defect detection

2017 ◽  
Vol 244 ◽  
pp. 012017 ◽  
Author(s):  
Vilas H Gaidhane ◽  
Navdeep ◽  
Asha Rani ◽  
Vijander Singh
Keyword(s):  
Edge Detection ◽  
Defect Detection ◽  
Detection Approach

scholarly journals Novel Boundary Edge Detection for Accurate 3D Surface Profilometry Using Digital Image Correlation

2018 ◽  
Vol 8 (12) ◽  
pp. 2541 ◽  
Author(s):  
Liang-Chia Chen ◽  
Ching-Wen Liang
Keyword(s):  
Digital Image Correlation ◽  
Edge Detection ◽  
Digital Image ◽  
Optical Diffraction ◽  
Image Correlation ◽  
Detection Accuracy ◽  
Boundary Edge ◽  
Discontinuous Surface ◽  
Full Field ◽  
Surface Profilometry

Digital image correlation (DIC) has emerged as a popular full-field surface profiling technique for analyzing both in-plane and out-of-plane dynamic structures. However, conventional DIC-based surface 3D profilometry often yields erroneous contours along surface edges. Boundary edge detection remains one of the key issues in DIC because a discontinuous surface edge cannot be detected due to optical diffraction and height ambiguity. To resolve the ambiguity of edge measurement in optical surface profilometry, this study develops a novel edge detection approach that incorporates a new algorithm using both the boundary subset and corner subset for accurate edge reconstruction. A pre-calibrated gauge block and a circle target were reconstructed to prove the feasibility of the proposed approach. Experiments on industrial objects with various surface reflective characteristics were also conducted. The results showed that the developed method achieved a 15-fold improvement in detection accuracy, with measurement error controlled within 1%.

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