Title :
A New Level Set Method of Image Segmentation Using Structure Tensor
Author :
Zhang Wei ; Zhang Jian ; Cao Shengjun ; Wan Li
Author_Institution :
Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China
Abstract :
A new level set method of image segmentation is proposed in this paper, which utilizes structure tensor information. Based on analyzing the classic Region-Scalable Fitting (RSF) model in detail, a structure tensor drawing upon gray information is added to RSF model in order to overcome the weakness that RSF model cannot deal with texture segmentation. Experimental results show that the new model can obtain better segmentation effects for texture segmentation and improve the segmentation accuracy.
Keywords :
image segmentation; image texture; tensors; RSF model; Region-Scalable Fitting model; gray information; image segmentation; level set method; structure tensor information; texture segmentation; Active contours; Deformable models; Image segmentation; Image texture analysis; Information analysis; Intelligent structures; Level set; Machine intelligence; Solid modeling; Tensile stress;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473482
