Overview on Edge Detection Methods

Edge in an image is a contour across which the brightness of the image changes abruptly. Edge detection plays a vital role in image processing. Edge detection is a process that detects the presence and location of edges constituted by sharp changes in intensity of the image. An important property of the edge detection method is its ability to extract the accurate edge line with good orientation. Different edge detectors work better under different conditions. Comparative evaluation of different methods of edge detection makes it easy to decide which edge detection method is appropriate for image segmentation. This paper presents an overview of the published work on edge detection.

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[4]  Wang Yu,et al.  Study on improved algorithm for image edge detection , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

[5]  Lei Yang,et al.  An improved Sobel edge detection , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[6]  Jalil Shirazi,et al.  Improvements in Edge Detection Based on Mathematical Morphology and Wavelet Transform using Fuzzy Rules , 2011 .

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[8]  Ashvini Chaturvedi,et al.  Edge detection of femur bone - a comparative study , 2010, 2010 International Conference on Signal and Image Processing.

[9]  Qiang Wu,et al.  An approach of canny edge detection with virtual hexagonal image structure , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[11]  Spiridon Nikolaidis,et al.  Real-time canny edge detection parallel implementation for FPGAs , 2010, 2010 17th IEEE International Conference on Electronics, Circuits and Systems.

[12]  Faycal Bensaali,et al.  Comparison of real-time DSP-based edge detection techniques for license plate detection , 2010, 2010 Sixth International Conference on Information Assurance and Security.

[13]  Indra Yasri,et al.  An FPGA Implementation of Gradient Based Edge Detection Algorithm Design , 2009, 2009 International Conference on Computer Technology and Development.

[14]  Yuqian Zhao,et al.  Edge Detection Based on Multi-Structure Elements Morphology , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[15]  Jiayin Kang,et al.  Edge Detection Based on Fusion of Wavelet Transform and Mathematical Morphology , 2009 .

[16]  Li-Qun Gao,et al.  A method of multi-scale edge detection based on lifting scheme and fusion rule , 2007, 2007 International Conference on Wavelet Analysis and Pattern Recognition.

[17]  Xiu-bi Wang.  Image Edge Detection Based on Lifting Wavelet , 2009, 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics.

[18]  Xiaojun Jing,et al.  Edge detection based on decision-level information fusion and its application in hybrid image filtering , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[19]  Yong Yan,et al.  An Autoadaptive Edge-Detection Algorithm for Flame and Fire Image Processing , 2012, IEEE Transactions on Instrumentation and Measurement.

[20]  Zhonghai li,et al.  An adaptive threshold edge detection method based on the law of gravity , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[21]  John F. Canny,et al.  Canny Edge Detection , 2009 .

[22]  D. Sharma,et al.  A Study of Edge Detection Methods , 2012 .

[23]  Shun-feng Ma,et al.  Directional multiscale edge detection using the contourlet transform , 2010, 2010 2nd International Conference on Advanced Computer Control.

[24]  A. S. Gandhi,et al.  Interpolation of images using discrete wavelet transform to simulate image resizing as in human vision , 2010, Int. J. Autom. Comput..

[25]  D. Selvathi,et al.  An Optimal Solution for Image Edge Detection Problem using Simplified Gabor Wavelet , 2012 .

[27]  Chaitali Chakrabarti,et al.  A distributed Canny edge detector and its implementation on FPGA , 2011, 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE).

[29]  Yang Hao,et al.  An improved method of image edge detection based on wavelet transform , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

[30]  Kenneth E. Barner,et al.  Wavelet-based multiresolution edge detection utilizing gray level edge maps , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[31]  Dawei Qi,et al.  Multi-scale Edge Detection of Wood Defect Images Based on the Dyadic Wavelet Transform , 2010, 2010 International Conference on Machine Vision and Human-machine Interface.

[32]  ZiLiang Ping,et al.  An Edge Detection Algorithm of Image Based on Empirical Mode Decomposition , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[33]  Scott T. Acton,et al.  Edge detection in ultrasound imagery using the instantaneous coefficient of variation , 2004, IEEE Transactions on Image Processing.