道格拉斯-普克 抽稀算法 附javascript实现 - Magix - SegmentFault



道格拉斯-普克 抽稀算法 附javascript实现 - Magix - SegmentFault

道格拉斯-普克抽稀算法,是用来对大量冗余的图形数据点进行压缩以提取必要的数据点。该算法实现抽稀的过程是:先将一条曲线首尾点虚连一条直线,求其余各点到该直线的距离,取其最大者与规定的临界值相比较,若小于临界值,则将直线两端间各点全部舍去,否则将离该直线距离最大的点保留,并将原线条分成两部分,对每部分线条再实施该抽稀过程,直到结束。抽稀结果点数随选取限差临界值的增大而减少,应用时应根据精度来选取限差临界值,以获得最好的效果。


以下转载自:垂距法与道格拉斯-普克法删除冗余顶点效率的比较

道格拉斯- 普克法可描述为:将一条曲线首末顶点虚连一条直线 ,求出其余各顶点到该直线的距离 ,选其最大者与规定的限差相比较 ,若小于等于限差 ,则将直线两端间各点全部删去;若大于限差 ,则离该直线距离最大的顶点保留 ,并以此为界 ,把曲线分为两部分 ,对这两部分重复使用上述方法 ,直至最终无法作进一步的压缩为止 (见图 3)。


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