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- W3021747154 abstract "This paper studies the problem of rough extraction of salient waypoints for UAV scene matching navigation, and a saliency analysis algorithm based on mean shift clustering is researched. The input image is preprocessed by color space conversion and Gaussian low-pass filtering. Mean-shift clustering is used to divide the image into sub-regions as the basic unit for candidate waypoint extraction. The Euclidean distance between the pixel color value and the average color value of the full image is used to represent the saliency. The sub-regions with high saliency value in the image are extracted as candidate waypoints." @default.
- W3021747154 created "2020-05-13" @default.
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- W3021747154 date "2020-06-01" @default.
- W3021747154 modified "2023-10-03" @default.
- W3021747154 title "Rough Waypoint Extraction Algorithm Based on Mean Shift Clustering Saliency Analysis" @default.
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- W3021747154 doi "https://doi.org/10.1109/itnec48623.2020.9084757" @default.
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