Application of Dynamic Neural Network to Search for Objects in Images

被引：0
|
作者：
Militsyn, A. [1 ]
Malykhina, G. [1 ]
机构：
[1] Peter Great St Petersburg Polytech Univ Russia, Inst Comp Sci & Technol, St Petersburg, Russia
来源：
2016 2ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM) | 2016年
关键词：
dynamic neural network; filtering; scenario of aerial image processing; THRESHOLD SELECTION; CRITERION; HISTOGRAM; ENTROPY;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Automatic search of objects on aerial photography allows reduce redundancy of transmitted and stored data, decrease image processing time. This paper suggests a scenario of aerial image processing, inclusive the neural networks based classification of images, filtering, binarization, searching for predetermined objects, detecting roads, and binding objects to the terrain on the basis of cross-correlation function.
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页数：3
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