欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
Facet模型能够获得准确的图像边缘信息,但运用Facet模型对目标进行分割时,时间复杂度比较高。针对该问题,从CT图像目标特征的角度,将分形维数特征引入Facet模型。首先利用图像边缘分形维数较大的特点,获得大致的边缘候选点,然后对边缘候选点集运用Facet模型进行分割,得到边缘点的准确位置。实验结果表明,该方法不仅能获得准确的边缘,而且提高了处理速度。
英文摘要：
Facet model can obtain accurate image edge,but the time complexity is greatly high while be used to segment target. Against this question,from the perspective of target feature in CT images,fractal dimension characteristics are introduced into Facet model in this paper.Firstly rough candidate point set is obtained on the basis of truth the fractal dimension on the edges is larger than other part,and then obtains the exact edges by using Facet model in the candidate point set.Furthermore,the experimentation results indicate that this method can not only be accurate on the edge,but also improve the processing speed.
同期刊论文项目
同项目期刊论文
The construction of 2D rotationally invariant wavelets and their application in image edge detection
期刊信息
位置：