APPLICATION OF NEURAL NETWORKS IN IMAGE PROCESSING AND VISUALIZATION

被引：9
|
作者：
Cristea, Paul Dan [1 ]
机构：
[1] Univ Politehn Bucuresti, Ctr Biomed Engn, Bucharest 060042, Romania
来源：
GEOSPATIAL VISUAL ANALYTICS: GEOGRAPHICAL INFORMATION PROCESSING AND VISUAL ANALYTICS FOR ENVIRONMENTAL SECURITY | 2009年
关键词：
Artificial Neural Networks (ANN); Image Processing; DIGITAL ELEVATION MODELS; RADAR TOPOGRAPHY MISSION; SHUTTLE RADAR; SRTM; ALGORITHM; ACCURACY;
D O I：
10.1007/978-90-481-2899-0_5
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Artificial Neural Networks (ANNs) are Supporting tools for image processing, even if currently they are no longer considered as the default best solution to any classification or regression problem. ANNs conserve their role as non-parametric classifiers, non-linear regression operators, or (un)supervised feature extractors. The chapter reviews the applications of ANN methodology in all the steps of the image processing chain, starting from data preprocessing and reduction, image segmentation, up to object recognition and scene understanding.
引用
收藏
页码：59 / 71
页数：13
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