Brightness, color, texture, motion similarity, proximity and good continuation can all be encoded into this framework. We have demonstrated results using these multiple cues for segmenting arbitrary gray-level images. We believe these results form a good substrate for work on object recognition as well as figure-ground processing. Click on an image to see its segmentation. The boundary of each region is shown in red.
Regions are disjoint and their union is the whole image.
The images are drawn from the Corel image database . The original RGB images have been converted to grayscale using the matlab RGBtogray function. Color is not used in these segmentations. It can be readily incorporated in our framework, but we chose not to use it now in order to provide a more stringent test for the quality of image segmentations. All results have been obtained with exactly the same algorithm and parameters.