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- W2094976293 abstract "In this paper, a hybrid method of combining the mean shift (MS) with the Fisher linear discriminant (FLD) is implemented to improve the performance of crop image segmentation. The highlight is the adoption of a point-line-distance-based strategy for weighting training data at the stage of the FLD. A wide set of images was employed to test the proposed method, and the results demonstrate its high quality and stable performance. In addition, the simulation results show that the point-line-distance-based strategy takes affect via enlarging the distance of class means, increasing the between-class scatter while decreasing the within-class scatter." @default.
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- W2094976293 date "2010-07-01" @default.
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- W2094976293 title "Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminant" @default.
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- W2094976293 doi "https://doi.org/10.1016/j.patrec.2010.01.016" @default.
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