A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
A general technique for the recovery of significant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric procedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is discussed. The segmentation is completely autonomous, only its class is chosen by the usel: Thus, the same program can produce adoi:10.1109/cvpr.1997.609410 dblp:conf/cvpr/ComaniciuM97 fatcat:i63lr2qkyfdxfiprfy5nfp5ige