搜索资源列表
rpca
- RobustPCA 是最近提出的一种非常新的图像矩阵分解算法,该算法具有对噪声不敏感、能处理高维图像数据的特点。这是论文作者提供的 MATLAB 实现代码。-Oct 2009 This matlab code implements the augmented Lagrange multiplier method for Robust PCA.
subdivision-method
- 纽约州立大学细分曲面课件,详细介绍了各种曲面细分的原理方法及示例。-SUNY Subdivision courseware, details a variety of surfaces method and example of the principle of subdivision.
tsai
- 摄像机标定中,著名的tsai两步法,希望对大家有所帮助-Camera calibration, the famous tsai two-step method, we want to help
a-new-method-for-extracting-image-texture-features
- 利用傅里叶变换提取图像纹理特征新方法,其效率高于以往一般提取方法-Fourier transform using extracted image texture features of the new method, its efficiency is higher than previous extraction methods
111Regionbetter
- 经典区域生长源码(区域增长),比起灰度阈值法有不可比拟的优势,一旦尝试,欲罢不能啊,只是,在实时性应用方面还有待改进,m代码编写易懂,易用,易改写成其他语言,如果改写成c,应该速度有所提高.请尽情享用-Classical region growing source (regional growth), compared to gray-scale threshold method has unparalleled advantages, once the attempt to stop ah,
tuxiangqiege
- 基于像素点的全局阈值法求图像的分割 实现方法有五种: 最小极值法,最优阈值法,最大方差方法,最大熵法,迭代法-Pixel-based global threshold method for image segmentation method there are five: the smallest extreme value method, the optimal threshold method, the largest variance method, the maximum ent
Levelset-segmentation
- level set 图像分割算法 Level Set Evolution Without Re-initialization: A New Variational Formulation Matlab 实现-level set method for image segmentation Level Set Evolution Without Re-initialization: A New Variational Formulation
imagethinning
- 数字图像处理的图像细化方法的C++源代码-Digital image processing method of image thinning of C++ source code
KPCA
- 为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 -PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component An
wavletdenoising
- 小波去噪方法介绍,包括阈值法、最大模法、相关法-Wavelet Denoising, including threshold, maximum modulus method, correlation, etc.
BlockMatchingMethodsConsideringSmoothnessofMotionV
- 考虑运动向量平滑的块匹配运动估计方法,matlab代码-Consider the motion vector smoothing method of block matching motion estimation, matlab code
levelset
- 基于快速Level Set的红外图像分割方法 作者: 梁 敏,张 科,张文峦-Fast Level Set Based on the infrared image segmentation method Author: Liang Ming, Zhang Ke, Zhang Luan
mygvf
- 自己设计的GVF模型图像分割程序,改进了初始轮廓的选择方法,快速分割。-GVF model designed image segmentation process to improve the initial outline of the selection method, rapid division.
TSnake
- Snake的初衷是为了进行图像分割,但它对初始位置过于敏感,且不能处理拓扑结构改变的问题。初始位 置的敏感性可以用遗传算法来克服,因为它是一种全局优化算法,且有良好的数值稳定性。为了更精确地进行图 像分割,本文提出了一种基于遗传算法的双T—Snake模型图像分割方法,它将双T—Snake模型解作为遗传算法的搜 索空间,这既继承了T—Snake模型的拓扑改变能力,又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优 化性能,克服了Snake轮廓局部极小化的缺陷,从而可得到对目标的
AFMM_Inpainting
- "An Image Inpainting Technique Based on the Fast Marching Method"文章中使用的图像修复方法-Sample C++ source code for the inpainting technique and with demo images as used in the "An Image Inpainting Technique Based on the Fast Marching Method"
2008172870
- 本文详细介绍了指纹识别技术的预处理算法,其中包括MATLAB算法仿真部分和DSP实现部分,并着重研究了预处理算法中的指纹图像归一化、图象滤波增强、图像分割、二值化、细化等关键技术。本文提出了改进的Gabor滤波算法,同时对其他预处理部分算法进行了优化,并将傅立叶分析方法应用于指纹图象处理研究中,采用MATLAB实现了本文讨论的所有算法。-This paper describes a fingerprint recognition algorithm technologies, including
Block-matching(Matlab)
- 用块匹配法求超分辨率复原中的运动矩阵!提出了一种快速,半像素的三步法!-Block-matching method using super-resolution recovery of movement in the matrix! Presents a fast, three-step half-pixel!
ResearchonTargetIdentificationwithISARImageSequenc
- 以逆合成孔径雷达成像技术和计算机视觉理论为基础,提出了一套新的从动态目标成像序列中提取目标散射点三维结构信息,以此作为目标特征的识别方法。-To inverse synthetic aperture radar imaging technology and computer vision theory, put forward a new set of goals from a dynamic imaging sequence to extract three-dimensional struc
correction-method
- 该文通过对光学成像系统中非线性畸变的分析,提出了一个数字校正方法。 该方法利用与光轴对称的径向畸变数学模型求出光学镜头的校正系数,对畸变图 像进行校正。对校正方法的程序实现进行讨论,给出了对实际畸变图像进行校正 的实验结果-This article through to the distortion of the nonlinear optical imaging system are analyzed and a digital correction method. This
test_departs
- 工作在图像特征提取。这里采用多尺度图像分析方法,将轮廓分解投影。-Work in the image feature extraction. Here the multi-scale image analysis method to decompose projection contour.