公开(公告)号：US06947586B2

公开(公告)日：2005-09-20

申请号：US09841941

申请日：2001-04-24

Applicant: Harvey L. Kasdan ,  Michael R. Ashe ,  Minn Chung

Inventor： Harvey L. Kasdan ,  Michael R. Ashe ,  Minn Chung

IPC: G01N33/493 ,  C12M1/00 ,  C12Q1/02 ,  G01N15/00 ,  G01N15/14 ,  G06K9/00 ,  G06T1/00 ,  G06T1/40 ,  G06T7/00

CPC classification number: G01N15/1475 ,  G01N2015/008 ,  G01N2015/1488 ,  G06K9/00127

Abstract: A multi-neural net imaging apparatus and method for classification of image elements, such as biological particles. The multi-net structure utilizes subgroups of particle features to partition the decision space by an attribute or physical characteristic of the particle and/or by individual and group particle classification that includes an unknown category. Preprocessing and post processing enables heuristic information to be included as part of the decision making process. Preprocessing classifies particles as artifacts based on certain physical characteristics. Post processing enables the use of contextual information either available from other sources or gleaned from the actual decision making process to further process the probability factors and enhance the decisions.

Abstract translation: 一种用于分类图像元素（如生物颗粒）的多神经网络成像设备和方法。 多网结构利用粒子特征的子群，通过粒子的属性或物理特征和/或包括未知类别的个体和群体粒子分类对决策空间进行分割。 预处理和后处理使启发式信息能够作为决策过程的一部分。 预处理根据某些物理特性将粒子分类为伪像。 后处理使得可以使用从其他来源获得的上下文信息或从实际决策过程中收集到的上下文信息来进一步处理概率因子并增强决策。