搜索资源列表
PCAbased-Laplacian-pyramid
- 本文阐述了基于主元分析的拉普拉斯金字塔图像融合的原理和方法:首先对原图像分别进行拉普拉斯 金字塔分解,然后分别对高频部分采用主元分析(PCA)法融合,对低频部分采用平均梯度法进行融合,最后对 拉普拉斯金字塔做反变换得到最终的融合图像。通过对可见光与红外图像的融合,以及对不同焦距图像融合 的结果分析,该算法比单纯的PCA和拉普拉斯图像融合能得到具有更多有用信息的高对比度的融合图像-In this paper, principal component analysis based on
regis
- 利用myform进行图像配准,将中波红外图像与长波红外图像融合配准,为后续工作做准备-Using myform for image registration, the medium wave infrared images and long-wave infrared image fusion registration, preparation for the follow-up
correction-of-infrared-image
- 介绍了一种根据红外探测器光谱响应的特点和基于参考源的两点温度非均匀性校正理论, 采用FPGA 器件实现红外成像系统的实时非均匀性两点校正, 并对图像进行了增强。-Introduces a spectral response of infrared detectors based on the characteristics and reference source based on two temperature non-uniformity correction theory, the use
monitoring-eyes-method
- 用红外图像实时跟踪和监测眼睛的方法,更加精确的定位眼睛区域-Using the infrared image real-time tracking and monitoring eyes method, a more precise positioning eye area
hw_pinjie
- 红外图像拼接技术研究,硕士论文,比较详细-Infrared image stitching technology research
INFARED_VISUAL
- 对可见光与红外的图像进行匹配,效果非常明显,并且设计出操作界面变与调入图像进行匹配-Visible light and infrared images of the match, the effect is very obvious, and the user interface changes designed to match with the transferred image
Image-Segment
- 经典算法进行的图像分割,文件中的图像是可将光图像和红外图像。本文件可用于做对比试验。-Classical algorithm for image segmentation, image file is the light images and infrared images. This file can be used to do comparison tests.
InfredCap
- 只能车辆上用于红外图像的采集程序,通过安装在车上的红外CCD采集图像并自动保存为8位的BMP格式的灰度图像。-Infrared images can only be used on the vehicle acquisition process, by vehicle-mounted infrared CCD image acquisition and automatically saved as 8-bit grayscale BMP format images.
ronghe
- 小波应用于图像拼接或者配准,该算法也可应用于红外与可见光的配准方面-Wavelets used in image stitching or registration, the algorithm can also be applied to infrared and visible aspects of registration
456
- 低信噪比红外图像处理资料 -Low signal to noise ratio infrared image processing data processing infrared image data with low signal to noise ratio
234
- 红外图像统计阈值分割方法 -Infrared image thresholding statistical method statistical threshold infrared image segmentation method
567
- 一种红外图像自适应对比度增强算法 .一种红外图像自适应对比度增强算法.zip-An infrared image contrast enhancement algorithm for adaptive an infrared image adaptive contrast enhancement algorithm. An infrared image adaptive contrast enhancement algorithm. Zip
adapt2
- 针对红外图像特别是红外弱小目标的特点,提出一种基于双平台的直方图均衡算法。-The characteristics of the infared dim-small targets iamge was analyzed.A new contrast enhancement algorithm was presented based on double plateaus histogram equalization
An-Object-Tracking-Method-
- 室外场景下由于场景背景条件变化容易导致视频目标跟踪稳定性差。该文提出一种利用红外和可见光传感 器的双通道视频目标跟踪方法。该算法利用可见光图像的目标颜色特征和红外图像的目标轮廓特征,结合均值漂移 算法与水平集曲线演化实现目标定位,并给出了目标尺度和模板更新方法;对多目标跟踪的互相遮挡问题,通过判 断目标合并与分离实现遮挡时多个目标的定位。实验结果表明,该文方法能够有效处理光照变化、阴影、遮挡等情 况,实现目标的稳定跟踪。-Considering the poor stabilit
Ship-detection
- 复杂杂波背景下,海面红外图像中舰船目标检测的关键是如何降低虚警、检测出真正的 目标。为了实现这个目标,首先利用Haar小波函数进行小波变换,对图像进行预处理;然后进行恒 虚警检测(CFAR);第三步采用行程法对检测的目标进行标记;最后采用管道滤波法剔出虚假目标, 检测出真正的目标。经仿真实验证明,此方法能有效地降低虚警,在复杂杂波背景中检测出目标。 -The key of ship detection in sea infrared image with complex clut
Extracting-Ship-Targets
- 针对成像型反舰导弹所获红外图像的特点, 提出了一种将海天/ 海岸线检测与目标提取相结合的舰船目标提取方法。该方法先综合运用Sobel边缘检测和局部Hough变换等数字图像处理技术从红外图像中检测出海天/ 海岸线, 然后通过对Kapur 熵二值化图像进行投影变换实现舰船目标提取。-According to the features of the infrared image obtained by an imaging anti-ship missile, a method which combi
Infrared-Image-Registration
- 基于单演相位的红外图像配准论文,文中给出了单演相位的详细解释-Registration papers, given in a single phase of play detailed explanation of infrared image based on a single play phase。
middle_filter_no_relativity
- 图像中值滤波,红外图像增强算法的一个小实验-The infrared image enhancement , median filtering ,The infrared image enhancement , median filtering The infrared image enhancement , median filtering The infrared image enhancement , median filtering The infrared image
OTSU
- 自己编写的OTSU(最大类间方差)红外图像分割方法。有红外原图以及分割结果图。-I have written OTSU (maximum between-class variance) Infrared image segmentation method. Infrared original segmentation map.
otsu
- 用最大类间方差法应用于红外图像的分割中,实验结果证明该方法简单有效。-With the most categories variance between method used in the infrared image segmentation, the experimental results show that the method is simple and effective.