  Image segmentation has long been a basic problem in computer vision.
Depth-wise Layering is a kind of segmentation that slices an image in a
depth-wise sequence unlike the conventional image segmentation problems dealing
with surface-wise decomposition. The proposed Depth-wise Layering technique
uses a single depth image of a static scene to slice it into multiple layers.
The technique employs a thresholding approach to segment rows of the dense
depth map into smaller partitions called Line-Segments in this paper. Then, it
uses the line-segment labelling method to identify number of objects and layers
of the scene independently. The final stage is to link objects of the scene to
their respective object-layers. We evaluate the efficiency of the proposed
technique by applying that on many images along with their dense depth maps.
The experiments have shown promising results of layering.
