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- W2039682045 abstract "The edge detection is very important in the early stage of the visual processing, According to deal with the local characteristics of image information, First,this paper apply GAP predictor templates prediction error of the image. Then using improved genetic algorithm combined with OTSU method, calculate the threshold. According the threshold, the error image edge was classified , and image edge was extracted. Experiments show that this paper algorithm is better results than the traditional edge detection, It has the advantage of edge location accurate, less false edge, and so image edge detection is an effective supplement." @default.
- W2039682045 created "2016-06-24" @default.
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- W2039682045 date "2014-09-01" @default.
- W2039682045 modified "2023-09-27" @default.
- W2039682045 title "A New Image Edge Detection Method Based on GAP Predictor and Genetic Algorithm" @default.
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- W2039682045 doi "https://doi.org/10.4028/www.scientific.net/amm.644-650.912" @default.
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