Abstract | ||
---|---|---|
A new external force of active contours based on wavelet transform, called Wavelet Vector Flow (WVF), is proposed in this paper. We define wavelet transform vector, which is used to replace the gradient vector in GVF snake model. The WVF snake model improves GVF snake model, because it is robust against noise and inhomogeneity of medical images. Experimental results show image structure boundaries detected by WVF snake model is more accurate than GVF snake model. |
Year | Venue | Keywords |
---|---|---|
2007 | Lecture Notes in Engineering and Computer Science | active contours model,gradient vector flow snake (GVF),medical image processing,image segmentation,wavelet transform |
Field | DocType | ISSN |
Computer vision,Pattern recognition,Computer science,Vector flow,Artificial intelligence,Wavelet | Conference | 2078-0958 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinyong Cheng | 1 | 4 | 3.52 |
Yihui Liu | 2 | 0 | 0.34 |
Rixiang Jia | 3 | 0 | 0.34 |
Weiyu Guo | 4 | 37 | 3.58 |