Automatic detection of objects in photos and images is beneficial in various scientific and industrial fields. This contribution suggests an algorithm for segmentation of color images by the means of the parametric mean curvature flow equation and CIE94 color distance function. The parametric approach is enriched by the enhanced algorithm for topological changes where the intersection of curves is computed instead of unreliable curve distance. The result is a set of parametric curves enclosing the object. The algorithm is presented on a test image and also on real photos.

中文翻译：

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使用平均曲率流和参数曲线对彩色图像进行分割

在各种科学和工业领域中，自动检测照片和图像中的对象是有益的。这一贡献提出了一种通过参数平均曲率流方程和CIE94色距函数对彩色图像进行分割的算法。通过用于拓扑变化的增强算法丰富了参数化方法，在这种拓扑变化中，计算的是曲线的交点而不是不可靠的曲线距离。结果是一组包围对象的参数曲线。该算法显示在测试图像和真实照片上。