Study of Edge Detectors: A Review
In the zone of digital picture and feature preparing edge detection from picture is a standout amongst the most critical concern. Edge detection is a separating procedure. Edge detection strategies are utilized to get noteworthy data from a picture by diminishing the measure of information and channels out the undesirable or immaterial data. The data are utilized as a part of picture handling to distinguish the items in picture preparing. This paper represents the comparison between numerous edge detection filters to identify which one gives the better results.
Keywords: Digital Image processing, Edge detection, Filters Sobel, Prewitt, Robert Cross, Canny edge detectors
Cite this Article:
Renu Gupta, Sandeep Gupta. Study of Edge Detectors: A Review. Journal of Advancements in Robotics. 2015; 2(3): 1–7p.
Zhang Jin-Yu, Chen Yan, Huang Xian-Xiang, Edge Detection of Images Based on Improved Sobel Operator and Genetic Algorithms, International Conference on Image Analysis and Signal Processing, Taizhou, 2009, 31–35p. 2. Raman Maini, Himanshu Aggarwal, Study and Comparison of Various Image Edge DetectionTechniques, Int J Image process. (IJIP), 2009; 3(1): 1–12p, ISSN (Online) 1985-2304
Ireyuwa. E. Igbinosa, Comparision of Edge Detection Techniques in Image Processing Techniques, Int J Info Technol Elect Eng (ITEE), February2013; 2(1): 25–29p, ISSN 2306-708X
Jun-tao Shi, Ying Zhu, Xiao-li Chu, et al. A Novel Approach of Edge Detection Based on Gray Weighted Absolute Correlation Degree and Prewitt Operator, International Conference on Intelligent Computing and Integrated Systems (ICISS), Guilin, 2010, 232–234p.
Junying Zhang, Edge Detection in Glass Fragmentation Images based on One Order Differential Operator, Second International Conference on Computer Engineering and Applications, Bali Island, 2010, 591–594p.
Canny Edge Detection, 09gr820, March 23, 2009
Fabao Yan, Xianhe Shao, Gun Li, et al. Edge Detection of Tank Level IR Imaging Based on the Auto-adaptive Double-threshold Canny Operator, Second International Symposium on Intelligent Information Technology Application, Shanghai, 20-22 Dec. 2008, 366–370p.
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