计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
11期
197-200
,共4页
变异系数%C-V模型%水平集函数%主动轮廓%PSM模型
變異繫數%C-V模型%水平集函數%主動輪廓%PSM模型
변이계수%C-V모형%수평집함수%주동륜곽%PSM모형
Coefficient of variation%C-V model%Level set function%Active contour%PSM model
结合C-V模型和变异系数，提出一种水平集演化方程为常微分方程类型的模型。该模型不仅能正确分割分片常值图像，而且迭代次数不受初始轮廓大小、位置和形状的影响，且水平集函数无需重新初始化，从而能够快速分割分片常值图像，同时又能分割C-V模型、ICV模型和PSM模型不能正确分割的3-phases图像。
結閤C-V模型和變異繫數，提齣一種水平集縯化方程為常微分方程類型的模型。該模型不僅能正確分割分片常值圖像，而且迭代次數不受初始輪廓大小、位置和形狀的影響，且水平集函數無需重新初始化，從而能夠快速分割分片常值圖像，同時又能分割C-V模型、ICV模型和PSM模型不能正確分割的3-phases圖像。
결합C-V모형화변이계수，제출일충수평집연화방정위상미분방정류형적모형。해모형불부능정학분할분편상치도상，이차질대차수불수초시륜곽대소、위치화형상적영향，차수평집함수무수중신초시화，종이능구쾌속분할분편상치도상，동시우능분할C-V모형、ICV모형화PSM모형불능정학분할적3-phases도상。
In this paper we propose a model to construct the level set evolution equation as an ODE ( ordinary differential equation) in combination with C-V model and coefficient of variation.The model can correctly segment the image with constant piecewise intensity, and the iteration times will not be affected by the size, position and shape of the initial contour.Furthermore, the level set function does not need to be reinitialised, so that it can fast segment the image with constant piecewise intensity, and can segment those 3-phases images such as C-V model, ICV model and PSM model which are difficult to be segmented correctly at the same time.
