Wavelet transform for processing of video from MAIA system

机译：小波变换处理来自MAIA系统的视频

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This article will present the use of wavelet transforms for image processing system of MAIA (Meteor Automatic Imager and Analyser). The main objective of these algorithms is the object detection with a high proportion of background noise and complicated imaging function. This noise is generated high brightness of the sky, an image intensifier and CCD sensor used. Analyzed images contain a large number of objects, which have dimensions of only a few pixels. In such cases, it is very difficult to use conventional methods of analysis images that are failing. Application of wavelet transform allows the use of specific features of image function and effectively detect objects.

机译：本文将介绍小波变换在MAIA（流星自动成像仪和分析仪）图像处理系统中的使用。这些算法的主要目标是具有较高背景噪声和复杂成像功能的目标检测。这种噪音是由天空的高亮度产生的，使用了图像增强器和CCD传感器。分析的图像包含大量对象，这些对象的尺寸仅为几个像素。在这种情况下，使用失败的分析图像的常规方法非常困难。小波变换的应用允许使用图像功能的特定功能并有效地检测物体。

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来源
《Photonics, devices, and systems V》|2011年|p.83061Q.1-83061Q.6|共6页
会议地点 Prague(CS)
作者
Elena Anisimova; Petr Pata; Martin Blazek; Karel Fliegel; Stanislav Vitek; Pavel Koten;
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作者单位

TEE CTU in Prague, Technicka 2, Prague 6, 166 27;

TEE CTU in Prague, Technicka 2, Prague 6, 166 27;

TEE CTU in Prague, Technicka 2, Prague 6, 166 27;

TEE CTU in Prague, Technicka 2, Prague 6, 166 27;

TEE CTU in Prague, Technicka 2, Prague 6, 166 27;

ASU CAS, Fricova 298, Ondrejov, 251 65;

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原文格式 PDF
正文语种 eng
中图分类工程光学;
关键词
MAIA; wavelet transform; object detection;

机译：MAIA;小波变换目标检测;

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Wavelet transform for processing of video from MAIA system

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