%0 Journal Article %T Texture image segmentation based on Gabor wavelet using geodesic active contour model
基于Gabor小波的几何活动围道纹理图像分割方法 %A WANG Kai-bin %A YU Bian-zhang %A ZHAO Jian %A
汪凯斌 %A 俞卞章 %A 赵健 %J 计算机应用 %D 2007 %I %X A new method for texture image segmentation was proposed,and it had two advantages compared to Geodesic models.First,due to using Gabor wavelet to extract texture features,texture image can be segmented properly.Second,without re-initialization,the proposed method can avoid the additional computation problems due to the re-initialization of signal distance function.The segmentation tests for synthetic and natural texture images prove the proposed segmentation method is more accurate and faster compared to geodesic active contour models. %K Gabor wavelet %K geodesic active contour %K Mumford-Shah model %K level set
Gabor小波 %K 几何活动围道 %K Mumford-Shah模型 %K 水平集 %K Gabor %K 小波对 %K 几何模型 %K 活动围道 %K 纹理图像 %K 分割方法 %K active %K contour %K model %K geodesic %K wavelet %K based %K image %K segmentation %K 速度 %K 精度 %K 分割法 %K 结果 %K 实验 %K 合成 %K 自然界 %K 计算量 %K 演化方法 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=7EB4F89C56892AD6A22AFD485182E199&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=0B4F496D54044D86&eid=BA79719BCA7341D5&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6