公开(公告)号：US07424149B2

公开(公告)日：2008-09-09

申请号：US10480659

申请日：2002-06-26

申请人： Olivier Gerard ,  Myriam Greff ,  Thomas Deschamps

发明人： Olivier Gerard ,  Myriam Greff ,  Thomas Deschamps

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06T7/12 ,  G06T7/181 ,  G06T2207/20101

摘要： The invention relates to a method for segmenting an image [IM] by path extraction using minimization of at least a potential [POT], said potential being calculated [CAS] from a feature [FEA] of the image [IM] using a cost assignment function [CAF], said calculation [CAS] being realized using the definition of two groups of points [NP and PP] in a neighborhood of a drawn [DRW] contour: the ones that are considered to be relevant to a boundary, called positive points [PP] and the ones that are not considered to be relevant to said boundary, called negative points [NP]. A refined characterization of positive points is constructed by combining characterizations of positive and negative points and the cost assignment function [CAF] is modified [CAL] using this refined characterization. The invention proposes also a fully automatic simultaneous adaptation of the different cost assignment functions of the individual potentials in a total function of potentials, and their relative weightings.

摘要翻译： 本发明涉及一种通过使用最小化电位[POT]的路径提取来分割图像[IM]的方法，所述电位是使用成本分配从图像[IM]的特征[FEA]计算出的[CAS] 函数[CAF]，所计算的[CAS]使用在绘制[DRW]轮廓附近的两组点[NP和PP]的定义来实现：被认为与边界相关的点，称为正 点[PP]和不被认为与所述边界相关的点，称为负点[NP]。 通过组合正点和负数点的特征来构建积极点的精细表征，并使用这种精细表征来修改成本分配函数[CAF] [CAL]。 本发明还提出了在潜在的全部功能中各个电位的不同成本分配功能以及它们的相对权重的全自动同时适应。