TY - GEN
T1 - Image segmentation based on multi-scale local feature
AU - Wang, Yang
AU - Wang, Qianqian
PY - 2010
Y1 - 2010
N2 - Image segmentation is the basic problem of image processing and computer vision, and it's also the key step from image processing to image analysis. The existing image segmentation methods were firstly reviewed and then the concept of multi-scale local features was introduced. A region-driven image segmentation of multi-scale local energy was proposed later. Finally, these algorithms were evaluated by the manual segmentation result and the evaluation results showed that the method based on multi-scale local energy could obtain accurate segmentation results with high availability.
AB - Image segmentation is the basic problem of image processing and computer vision, and it's also the key step from image processing to image analysis. The existing image segmentation methods were firstly reviewed and then the concept of multi-scale local features was introduced. A region-driven image segmentation of multi-scale local energy was proposed later. Finally, these algorithms were evaluated by the manual segmentation result and the evaluation results showed that the method based on multi-scale local energy could obtain accurate segmentation results with high availability.
KW - Image segmentation
KW - Multi-scale local energy
KW - Region-growing method
UR - http://www.scopus.com/inward/record.url?scp=78650548935&partnerID=8YFLogxK
U2 - 10.1109/CISP.2010.5648301
DO - 10.1109/CISP.2010.5648301
M3 - Conference contribution
AN - SCOPUS:78650548935
SN - 9781424465149
T3 - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
SP - 1406
EP - 1409
BT - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
T2 - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Y2 - 16 October 2010 through 18 October 2010
ER -