Perceptual primitives from an extended 4D Hough transform

Directional features extracted from Gabor wavelets responses were used to train a structure of self-organising maps, thus classifying each pixel in the image within a neuron-map. Resulting directional primitives were grouped into perceptual primitives introducing an extended 4D Hough transform to group pixels with similar directional features. These can then be used as perceptual primitives to detect salient structures. The proposed method has independently fixed parameters that do not need to be tuned for different kind or quality of images. We present results in application to noisy FLIR images and show that line primitives for complex structures, such as bridges, or simple structures, such as runways, can be found by this approach. We compare and demonstrate the quality of our results with those obtained through a parameter-dependent traditional Canny edge detector and Hough line finding process.     

Background-subtraction using contour-based fusion of thermal and visible imagery

We present a new background-subtraction technique fusing contours from thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regions-of-interest in the visible domain. Within each region, input and background gradient information are combined to form a Contour Saliency Map. The binary contour fragments, obtained from corresponding Contour Saliency Maps, are then fused into a single image. An A^* path-constrained search along watershed boundaries of the regions-of-interest is used to complete and close any broken segments in the fused contour image. Lastly, the contour image is flood-filled to produce silhouettes. Results of our approach are evaluated quantitatively and compared with other low- and high-level fusion techniques using manually segmented data.     

基于扩展空间直方图的红外目标跟踪方法

针对传统均值漂移算法中仅仅利用目标的颜色信息而导致目标模型分辨能力不高的问题,提出了一种基于扩展空间直方图的红外目标均值漂移跟踪方法.首先对空间直方图进行扩展,构建了一种结合目标颜色分布和空间约束关系的联合空间颜色模型,有效提高了目标模型的分辨能力.通过给定目标空间位置和颜色联合概率密度函数,定义目标区域与候选区域概率密度的相似性度量,进而实现了红外目标的准确定位.实验结果表明该算法简单有效,能准确跟踪前视红外目标.     

红外目标探测器的特征及其军用前景

论述了中波和长波红外探测器的特征及装备前景;机载前视红外（ＦＬＩＲ）成像系统用于地面目标探测和机载红外搜索跟踪（ＩＲＳＴ）系统用于空中目标探测的前景。     

前视末制导地面目标红外场景生成算法研究

提出了一种基于遥感信息的前视末制导地面目标红外场景生成方法。首先,利用遥感信息生成目标区域可见光三维场景,作为场景仿真的基础模型;然后,通过建立目标及背景的温度模型、红外温度-辐射模型,计算出目标及背景的红外辐射值,针对仿真目标区域的特点进行建模仿真。最后,采用了一种基于可见光纹理的背景真实感合成方法,增强场景的仿真效果。通过对比实测温度和红外实时图以及灰度相关匹配实验,结果表明,本文方法真实地反映了目标区红外辐射变化规律,具有较好的逼真程度。     

机载光电导航瞄准系统的应用和发展概况

介绍了现役战斗机机载“蓝天”光电瞄准和导航吊舱及其后续改进系统，以及其他机载高级光电瞄准和导航系统的发展概况。     

Object isolation in FLIR images using Fisher's linear discriminant

Further computer results are presented on the use of Fisher's linear discriminant for pixel classification in object isolation of infrared images. A new form of theoretical error probability is proposed which compares very favorably with the experimental error probability.     

Scene analysis using region-based constraint filtering

A general-purpose scene-analysis system is described which uses constraint-filtering techniques to apply domain knowledge in the interpretation of the regions extracted from a segmented image. An example is given of the configuration of the system for a particular domain, FLIR (Forward Looking InfraRed) images, as well as results of the system's performance on some typical images from this domain. A number of improvements to these techniques are proposed.     

基于模板匹配的前视红外目标识别方法

针对固定目标红外图像中边缘模糊,难以分割和识别的情况,提出了一种基于模板匹配的目标识别方法。由高程数据和正射影像等卫星数据生成目标区参考图和基准图,在基准图中根据归一化Laplace响应确定目标区特征尺度作为目标检测的先验知识,对实时图及灰度反转实时图进行匹配滤波,检测出候选区域,再对候选区域进行基于Hausdorff距离的模板匹配,从而得到最终识别结果。实验结果显示:该算法识别精度高、速度快,对于复杂地面目标前视红外图像的匹配识别具有一定的应用价值。     

前视红外景象匹配制导基准图生成研究

提出了一种用于前视红外景象匹配制导的基准图生成方法，该方法以可见光图像为数据源，得到目标和背景的几何视图，对二者分别计算温度及辐射特征，合成后加入大气作用效果，根据不同的视点变换与探测器位置，就可得到前视红外景象匹配制导所需的多视点多尺度基准图。