Journal of Dalian Ocean University  2008, Vol. 23 Issue (6): 493-496 DOI: 10.3969/j.issn.1000-9957.2008.06.017 |
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| A edge detection algorithm of biologic Image based on dynamic binary and mathematical morphology |
| WANG Yi, GUO Xian-jiu, YU Xiao-jing, YIN Xiang-gui
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| School of Information Engineering, Dalian Fisheries Univ. , Dalian 116023, China |
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Abstract A edge detection algorithm of biologic image based on dynamic and mathematical morphology, which can solve the affection of noise and blurring effect in image edge detection,is presented in this paper. The dynamic binary method was used firstly to define binary image threshold in transforming gray image to binary image. Secondly, the Erosion algorithm of mathematical morphology and de - empty method were used to eliminate noise of binary image. Finally the skeleton detection was used to detect image edge. The numerical experimental showsed that this algorithm reduced the effect of noise in image edge detection, and realized were accurately edge orientation, and hold adequately image detail. This algorithm is a good edge detection method in biologic image.
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Published: 30 December 2016
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