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- W2005223145 abstract "Edge detection is one of the most demanding tasks in optical image processing for artificial vision and image matching works. In this paper, the self organization theory is used for edge detection. A new algorithm based on a two variable reaction-diffusion equations is proposed. A stable edge pattern can be obtained by choosing suitable control parameters. Compared with the conventional methods, such as Soble, Prewitt and Robert detectors, the new algorithm indicates a higher accuracy and continuity for the image. Moreover, it can also extract exactly the edge of the human face image." @default.
- W2005223145 created "2016-06-24" @default.
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- W2005223145 date "2007-12-03" @default.
- W2005223145 modified "2023-09-23" @default.
- W2005223145 title "Edge-detection in optical images using auto-organization" @default.
- W2005223145 doi "https://doi.org/10.1117/12.782687" @default.
- W2005223145 hasPublicationYear "2007" @default.
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