搜索资源列表
数字散斑相关(DSCM)程序
- 数字散斑相关(DSCM)程序,可以精确算出前后两幅图片的位移,精确到亚像素-Digital speckle correlation (DSCM) program, you can accurately calculate the two pictures before and after the displacement, to the sub-pixel precision
phase
- hilditch.m是hilditch细化算法。 RC_unwrap.m是逐行逐列去包裹算法。 least_unwrap.m是最小二乘去包裹算法。 FTP.m是利用傅里叶变换提取相位。 sincosfilter.m是正余弦滤波算法。 以上算法在相位图的相关计算中常用到,比如电子散斑干涉、全息干涉、相移技术等。-hilditch.m is hilditch refinement algorithm. RC_unwrap.m is listed line by line u
wave
- 这是一个改进小波变换算法,实验证实有效减少相干斑噪声-This is an improved wavelet transform algorithm, the experiment proved to be effective to reduce speckle noise
imageprocessing_skeleton
- 数字图像处理,包括Random noise,Speckle,Saturation,Contrast,Threshold,Gamma,Black and White,等-image processing,includingRandom noise,Speckle,Saturation,Contrast,Threshold,Gamma,Black and White,and so on
matlabfrost
- matlab去斑点噪声,不错的学习matlab图像处理的基础例程,适合初学者。-matlab to speckle noise, a good learning matlab image processing routine basis, suitable for beginners.
DiffNew_2
- we propose and demonstrate a method for increasing the resolution of a limited aperture and limited pixel size of the detector in an optical system by illuminating the input with a speckle pattern. This method includes an encoding function that encod
dicp
- 对数字散斑图像,还有彩色图像作了增强,滤波等相关处理。边缘检测方法在本文中也有所涉及。-Digital speckle images, as well as color images were enhanced filtering and correlation. Edge detection method has also been involved in this article.
RadarSceneMatchingImage
- :采用基于内容的图像检索方法,对雷达景象匹配数据库中的图像数据进行兴趣目标的查询检索与识别.由于 雷达图像具有受斑点噪音影响明显等特点,故综合运用迭代阈值选取以及区域生长的方法,进行兴趣目标(主要是 机场)的分离;由于匹配数据库中图像数据范围比较大,包含目标多,为了在检索过程中确定检索目标在图像中的 位置,预处理时,采用对同一图像多幅子图进行特征提取的方法,最终在检索时通过子图范围来确定目标在大幅图 像上的位置.由实验分析,证明在机场目标的检索识别中,这一方法是可行的.-Cont
Lee
- Lee滤波,实现相干斑点去噪算法,在SAR图像去噪中应用广泛.-Lee filter, to achieve coherent speckle denoising algorithm, widely used in SAR image denoising.
000_PRN_Nonlinear_Diffusion_in_Laplacian_Pyramid_D
- 将Laplacian变换与各向异性扩散相结合,多尺度各向异性扩散处理斑点图像-The Laplacian transformation and the combination of anisotropic diffusion, multiscale anisotropic diffusion speckle image processing
000_Speckle_reduction_and_contrast_enhancement
- 应用各向异性扩散理论推导出来的一种方法,用以抑制斑点与增强边缘-Application of anisotropic diffusion theory derived a method to suppress the speckle and enhance edges
000_speckle_in_ultrasound_B-mode_scans
- 研究超声斑点分布模型及其统计分布特征,比较早的参考文献-Distribution Model of ultrasonic speckle statistical distribution characteristics of earlier references
000_Speckle_reducing_anisotropic_diffusion
- 斑点抑制各向异性扩散方法,是对传统ANDI方法的扩展,是处理斑点图像有代表性的文章之一。-Speckle Reduction anisotropic diffusion method is an extension of traditional methods ANDI, is dealing with spot images of representative articles.
bj
- 基于提升小波变换的SAR图像相干斑抑制,新颖,有用。-SAR based on lifting wavelet transform speckle, novel, useful.
fullddencmp
- 用小波默认阈值法对散斑图进行去噪,还包括用相移法和最小二乘法求相位及去包裹-wavelet denoising used in speckle pattern
jag
- papers on denoising the speckle noise
espi--Debug
- 通过电子散斑干涉实验采集图像,对图像进行相减可以得到反应x方向位移的条纹 。-Collected by electronic speckle pattern interferometry images, subtracting the image x direction displacement reaction can be striped.
guangxinxi
- 本书系统地介绍信息光学基础理论及相关的应用。全书共11 章, 内容涉及二维傅里叶分析、标量衍射理论、光学成像 系统的频率特性、部分相干理论、光学全息照相、空间滤波、相干光学处理、非相干光学处理、全息干涉度量学、散斑计量学、 云纹法与云纹干涉法等。 本书内容丰富, 选材新颖, 既系统介绍基础理论, 又同时兼顾理论和技术的当前发展, 并强调理论与应用的结合。书中 精选了100 余个例题和习题, 并给出了大部分的详细解答, 便于读者加深对正文的理解。 本书读者对象为光学、光电子技术
srbf
- 斑点消除双边滤波器,根据UsMB2010年的文章实现。-speckle reducing bifilter