|
|
|
| A Fast Interactive Segmentation Algorithm of Image Sequences
Based on Relative Fuzzy Connectedness |
| Tian Chun-na①; Gao Xin-bo①; Halidan.A② |
| ①School of Electronic Engineering, Xidian University, Xi’an 710071, China;②School of Electrical Engineering, Xinjiang University, Urumqi 830008, China |
|
|
|
|
Abstract A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the existing algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex background and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction.
|
|
Received: 08 May 2004
|
|
|
|
|
|
|
|
|
2005, Vol. 27 
