The advanced distributed region of interest tool

被引：3
|
作者：
Marchette, DJ
Solka, JL
Guidry, R
Green, J
机构：
[1] USN, Ctr Surface Warfare, Dahlgren Div, Adv Computat Technol Grp,Code B10, Dahlgren, VA 22448 USA
[2] USN, Ctr Surface Warfare, Dahlgren Div, Space Syst Applicat Branch,Code T12, Dahlgren, VA 22448 USA
来源：
PATTERN RECOGNITION | 1998年 / 31卷 / 12期
关键词：
D O I：
10.1016/S0031-3203(98)00025-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper details recent work on the use of low-level features for the identification of regions of interest in images. Using-low-level features, the system classifies regions in the image via probability densities estimates for each class. These densities are estimated semi-parametrically, giving the system great flexibility in the functional form of the densities. This paper details the environment designed to allow easy implementation of pattern recognition algorithms. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：2103 / 2118
页数：16
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