提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
分析了图像局部熵的性质，提出了一种基于图像局部熵的红外图像分割方法。
The property of local entropy of image and a novel method of infrared objects detecting based on local entropy of image were presented.
针对模糊核聚类对红外图像分割存在的不足，提出了一种改进的模糊核聚类红外图像分割算法。
Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed.
针对马尔可夫随机场在红外图像分割方面存在的问题，给出了一种基于混合高斯模型的三马尔可夫场红外图像分割算法。
Due to the problems to infrared image segmentation using Markov random fields, a method for infrared image segmentation based on triplet Markov fields using mixture gauss model was proposed.
实验结果表明，对一般噪声条件下得到的红外目标图像，该方法能准确地检测、定位和分割小目标。
The experiment results indicate that the method can detect, locate and segment small targets precisely an infrared images obtained in conventional noise conditions.
实验结果表明，该方法能有效地对红外图像中的破碎目标进行复原，实现目标完整分割。
Experimental results show that the method can effectively restore the infrared image's fragmental targets and realize targets 'complete segmentation.
随着红外迷彩伪装涂料的出现，利用其对目标红外热图像进行分割，破坏目标图像特征的特点，为目标红外对抗提供了一种新的有效手段。
The appearance of infrared camouflage paint offers an effective means for infrared countermeasure of target by using its characteristics of segmentation and destruction of targets infrared images.
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.
针对红外图像的特点，提出了一种综合应用边缘检测和区域生长方法的图像分割方法。
An image segmentation method based on edge detection and region growing is proposed in view of the features of IR image.
在红外图像的分割处理中，阈值的选取一直是研究的热点。
In infrared image segmentation processing, the selection of a threshold has been a hot issue.
瓷绝缘子人工污秽试验结果表明：文中提出的红外热像特征选择方法和图像分割算法简单有效。
The results of artificial pollution test of ceramic insulators show that the proposed selection method for infrared thermal image and the image segmentation algorithm are simple and effective.
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.
结果表明，该方法能够有效地确定舰船目标红外图像中的海天线区域，保证了目标分割的有效性和实时性。
The experiment result with ship target infrared image shows that this method can locate precise ly the horizontal region and assures the validity and real-time of image segmentation.
提出了一种建立在红外多波段图像基础上的目标分割新方法。
A new infrared target segmentation method based on infrared multiband images is proposed.
采用修正后的阿尔法滤波器和基于波谷的图像分割方法对绝缘子红外图像进行预处理。
An amended alpha filter and an image segmentation method based on the histogram trough of the insulator image are adopted to preprocess the insulator infrared image.
其次，研究了海空背景红外小目标图像的背景分割技术，提出了四种海空背景分割算法。
Secondly, we have studied the technology of background segmentation in sea-sky background IR images, and put forward four kinds sea-sky background segmentation methods.
实验结果表明，该方法能有效检测和分割出低信噪比复杂自然背景红外图像中的目标。
The experimental results show that the method can effectively detect and segment the target in a low SNR infrared image with the complicated nature background.
自然背景复杂的纹理特征和红外图像中的噪声影响，以及红外目标模糊的边缘，给红外目标的边界检测和分割带来一定的困难。
The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background.
对200帧可见光视频序列和100帧红外图像序列中运动汽车进行检测分割实验，检出率分别达到96%和94%。
Two image sequences including 200 frames of optical images and 100 frames of infrared image are detected and the detection ratio achieves 96% and 94% respectively.
提出了一种对复杂云层背景下红外图像序列中弱小运动目标分割和检测的方法。
An efficient approach for segmenting and detecting small moving target in infrared image sequences against complex cloud layer background is given.
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.
综合利用红外图像灰度特征与可见光图像灰度以及分维数方差特征，提出了一种复杂背景下多目标分割算法。
Synthetically utilizing features coming from infrared images and visible-light images, a novel segmentation algorithm is proposed to deal with multi-target in complicated backgrounds.
实验选取了不同类型的红外图像，将本文算法和其他文献中算法的分割结果进行了比较。
Different types of infrared images are selected to compare the results of purposed algorithm and the other two algorithms in references.
最大类间方差法是一种常用而有效的图像分割算法，但由于计算量较大，不适宜于红外成像跟踪系统中高帧频的实时图像处理。
The Otsu's method is an effective algorithm for image segmentation. But it is unfit for the real-time image processing in the high frame rate infrared imaging tracking system for it is time-consuming.
红外图像点目标检测一般可分为三个阶段，依次为图像预处理、目标分割和目标检测。
In general, point target detection of Infrared image can be divided into three phases, followed by image preprocessing, target segmentation and target detection.
常用的阈值分割方法在对红外图像进行分割时，由于红外图像本身的特点，会出现准确性不高的问题。
In view of the characteristics of infrared image, the veracity is not good when the commonly used threshold is used in infrared image segmentation.
常用的阈值分割方法在对红外图像进行分割时，由于红外图像本身的特点，会出现准确性不高的问题。
In view of the characteristics of infrared image, the veracity is not good when the commonly used threshold is used in infrared image segmentation.
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