This project forked from missdan2015/superpixels_seeds
超像素分割方法，采用论文 SEEDS: Superpixels Extracted via Energy-Driven Sampling 提出的方法，对于物体的边界具有较好的保留，如下图所示。可以辅助目标检测中制作Banchmark。
超像素分割方法，采用论文 SEEDS: Superpixels Extracted via Energy-Driven Sampling 提出的方法，对于物体的边界具有较好的保留，如下图所示。可以辅助目标检测中制作Banchmark。
本工程在其基础上，获得的图像labels和contours，然后分别实现区域种子填充，Windows下编译环境为： OpenCV CMake Visual Studio 工程demo包括：
SuperSeedsTest: SEEDS 提供的用例，可获取超像素分割labels和contours SeedFillTest : 基于labels种子填充子块 BoundaryFillTest : 基于contours种子填充子块
备注：无需配置cmake也行，自己手动添加文件头文件和源文件
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