Algorithm and Technique on Various Edge Detection : A Survey

An edge may be defined as a set of connected pixels that forms a boundary between two disjoints regions. Edge detection is basically, a method of segmenting an image into regions of discontinuity. Edge detection plays an important role in digital image processing and practical aspects of our life. .In this paper we studied various edge detection techniques as Prewitt, Robert, Sobel, Marr Hildrith and Canny operators. On comparing them we can see that canny edge detector performs better than all other edge detectors on various aspects such as it is adaptive in nature, performs better for noisy image, gives sharp edges , low probability of detecting false edges etc.

[1]  Sos Agaian,et al.  Noise-resilient edge detection algorithm for brain MRI images , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Siong-Hoe Lau,et al.  Automatic multiple faces tracking and detection using improved edge detector algorithm , 2011, 2011 7th International Conference on Information Technology in Asia.

[3]  Chun-ling Fan,et al.  The Application of Adaptive Canny Algorithm in the Cable Insulation Layer Measurement , 2009, 2009 Second International Workshop on Computer Science and Engineering.

[4]  Yang Liu,et al.  Paper Title (use style: paper title) , 2010 .

[5]  Xiaobing Wang,et al.  Runway Detection and Tracking for Unmanned Aerial Vehicle Based on an Improved Canny Edge Detection Algorithm , 2012, 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics.

[6]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Hu Xiaoguang,et al.  An improved Canny edge detection algorithm for color image , 2012, IEEE 10th International Conference on Industrial Informatics.

[8]  Zhou Yu,et al.  Real-time Facial Expression Recognition Based on Adaptive Canny Operator Edge Detection , 2010, 2010 Second International Conference on Multimedia and Information Technology.

[9]  Lejiang Guo,et al.  The Edge Detection Operators and Their Application in License Plate Recognition , 2010, 2010 International Conference on Computational Intelligence and Software Engineering.

[10]  Jianqiao Yu,et al.  An Algorithm for Automatic Extraction of Moving Object in the Image Guidance , 2010, 2010 International Conference on Intelligent System Design and Engineering Application.