Journal
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ISSN:1001-5078
Laser & Infrared
North China Research Institute of Electro-optics
About:Laser & Infrared is an academic journal. The journal publishes majorly in the area(s): Laser & Wavelet. Over the lifetime, 954 publications have been published receiving 1782 citations. The journal is also known as: light amplification by stimulated emission of radiation.
Papers published on a yearly basis
Papers
Journal Article
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TL;DR:一种改进的边缘检测算法基于在校园里y operator is proposed in which Gauss filter is replaced by MTM filter and the veracity of edge detection is improved evidently, calculating quantity is reduced enormously, and a preferable result is obtained.
Abstract:In this paper,an improved edge detection algorithm based on Canny operator is proposed in which Gauss filter is replaced by MTM filter.Then the parameters in the algorithm are studied.Experiment shows that the veracity of edge detection is improved evidently,calculating quantity is reduced enormously,and a preferable result is obtained.
30citations
Journal Article
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TL;DR:In this article, the ways of infrared stealth technology are studied in this paper, and the application of IR stealth technology in guided missile, military plan, warship and tank is summarized.
Abstract:The ways of infrared stealth technology are studied in this paper,and the application of infrared stealth technology in guided missile,military plan,warship and tank is summarized.
15citations
Journal Article
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TL;DR:The unified threshold to make the threshold vary with the changes of the decomposition scale will be improved to deal with the wavelet coefficient in the process of image noise reduction with the help of wavelet decomposing.
Abstract:In view of the drawbacks of traditional wavelet threshold method for image noise reduction that it cannot remove the noise thoroughly,and may remove the useful information,this article improves the threshold selection and threshold function which are the vital factors of this method.This article will improve the unified threshold to make the threshold vary with the changes of the decomposition scale.At the same time the deviation of wavelet coefficient and original coefficient will decrease,therefore,the method will retain the advantages of the traditional soft threshold and hard threshold.The proposed method with new threshold selection and threshold function will make it more flexible to deal with the wavelet coefficient in the process of image noise reduction with the help of wavelet decomposing.Experiment results with Matlab reveal that this technology can largely reduce the noise of the Camera image added with Gaussian noise,and the image contrast,S(entropy) and SNR(signal to noise ratio) also get improved.The effectiveness and precision of the new wavelet threshold method for image noise reduction presented in this article are finely proved by the results of the experiments.
15citations
Journal Article
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TL;DR:In this article, the authors reviewed the history and present status of infrared temperature measurement technology, analyzed the existing problems of temperature measurement with infrared thermal imager from technical perspectives, introduced domestic and international researching focuses of infrared thermal imaging temperature measurement, and prospects its future trends.
Abstract:The article reviews the history and present status of infrared temperature measurement technology,analyzes the existing problems of temperature measurement with infrared thermal imager from technical perspectives,introduces domestic and international researching focuses of infrared thermal imaging temperature measurement technology,and prospects its future trends.At the end,the analysis and summary of the theory,instrument,calibration and applications for infrared temperature measurement have been made in detail.
15citations