中文说明：超像素是图像分割的基本单元。它们在深度估计、图像分割、骨骼化、人体模型估计和目标定位等方面有着广泛的应用。与基于像素的方法相比，基于图的模型（如条件随机场（CRF））具有更好的时间复杂度。我尝试了使用最小特征集的超像素图像分割。
English Description：
Superpixels are the basic image segmentation units taken for the approaches proposed. They are useful in applications such as depth estimation, image segmentation, skeletonization, body model estimation and object localization. Graph based models such as Conditional Random Fields (CRF) can have better time complexity when compared to pixel based methods. I have tried super pixel for image segmentaion using the minimum feature set.