因此进行红外图像增强是非常必要的。
针对红外图像对比度差、噪声较大的缺点，提出一种基于二维离散小波变换的红外图像增强方法。
Aiming at the bad contrast of infrared image and big noise, this article gives out an arithmetic of image enhancement based on the disperse of two-dimensional and wavelet transform.
本文将粗糙集理论引入到红外图像增强中，对粗糙集在红外图像处理中的应用做了一些初步的探索。
The Rough Set Theory is introduced into the enhancement of infrared image. Also the tentative exploration of the application of the Rough Set Theory has been made in image processing.
这种单目镜通过图像增强技术进行目标识别，通过红外技术进行目标探测。
The monocular USES image intensification for target identification and IR for target detection.
传统的直方图均衡和灰度变换增强算法，不能针对红外图像的目标进行有效地增强。
Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
针对红外弱小目标图像的特点，本文提出了一种新的增强算法。
In this paper, a new enhancement algorithm is presented based on the characters of infrared dim-small target images.
辅以单片机统一系统时序，完成红外视频采集、图像增强和视频输出的功能。
This system will implement the function of infrared video collection, image buildup and video output.
基于红外图像模式识别的图像预处理，包括滤波降噪、目标增强、图像分割等处理。
The image preprocessing based on infrared image mode recognition includes noise reduction, image enhancement and image segmentation.
针对红外图像，采用双门限分割法进行图像分割，然后采用分段灰度变换法进行图像增强。
An infrared image processing solution is proposed. It USES bi-threshold method to segment image and enhance the image with segmentation gray scale transform method.
该算法对红外图像处理过程中不同类型的噪声采用不同的方法滤波，有效地滤除了高斯噪声和脉冲噪声，同时增强了目标和背景中的边缘成分。
Different means are used for different kinds of noise respectively. The edges of target and background are enhanced and the elimination of Gauss noise and pulse noise are reduced.
实验结果表明，提出的方法在有效地增强红外图像对比度的同时，又能很好地抑制相关噪声。
According to the experimental result, the given algorithm can reduce the noise of infrared image effectively while it enhances the contrast of infrared image well.
研究了将红外热像仪采集到的数据进行数据转换，图像显示和图像增强的方法。
The approach of converting data acquired from infrared thermal-imager, image display and enhance are discussed.
红外图像对比度增强的研究基于灰度变换。
Common infrared image gray transform algorithms are studies in order to enhance infrared image contrast.
为了获取高质量且便于观察的红外图像，必须对原始图像信号进行模拟前端处理以及去噪和增强等数字图像处理。
As to acquire infrared image of high quality for observing, we should carry out analog processing and digital image processing such as enhancement and noise removal to the original images.
本文主要研究了复杂背景下红外成像的目标检测问题，通过红外图像的增强、分割以及目标识别等手段实现目标的可靠检测。
This thesis mainly deals with the infrared target detection under complex background, which is achieved by the methods of image enhancement, image segmentation and object recognition.
T系列相机能为公司提供画中画融合，通过使红外图像覆盖直接覆在相应的可见光图像上，增强了红外图像的价值。
The t cameras offer the company's picture-in-picture FUSION that enhances the value of an infrared image by allowing the overlay of an infrared image directly over the corresponding visible image.
针对红外弱小目标图像的特点，本文提出了一种新的增强算法。
In this paper, we present a novel method for infrared dim targets detection based on local binary pattern (LBP).
提出了将数据文件显示为红外热波序列图像的方法，即数据映射法，以及一种便于观测试件缺陷的红外热波序列图像增强方法。
Data mapping method which displaying the data files to infrared heat wave sequent images and an enhancing method for infrared heat wave sequent image of the defect were put forward.
通过对自适应形态学边缘增强方法的改进，使得二值化结果有效地保留了红外图像的边界特征，是一种有效、实用的图像二值化方法。
The clear edge of the binary result by improving the morphologic edge enhancement method is got. The results show that it is a valid and practical image binarization method.
本文在FPGA平台上实现了红外图像的增强处理。
Infrared image enhancement was realized based on FPGA platform in this project.
本文以模糊理论为基础研究了针对红外图像的增强处理方法。
Image enhancement based on fuzzy theory for infrared images has been mainly researched in this paper.
根据红外灰度图像的特点，提出了一种基于K -均值聚类的图像增强的新算法。
A new algorithm method of image enhancement based on K-means clustering is presented, according to the characteristics of infrared gray-image.
对红外序列图像的对比度线性增强算法进行了研究，提出了一种基于多级均值思想的图像线性增强方法。
A technique of the contrast linear enhancing algorithm of Infrared Image sequences is discussed and studied. An algorithm of image linear enhancing based on the multi-level averages is proposed.
针对红外图像存在的对比度差、信噪比低等问题，提出了一种基于小波和侧抑制网络的红外图像对比度增强算法。
For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented.
针对红外图像存在的对比度差、信噪比低等问题，提出了一种基于小波和侧抑制网络的红外图像对比度增强算法。
For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented.
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