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FundamentalElectronics
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
suanfa
- 数字图像去噪典型算法的分析比较得到一种新的兼 有细节保护和噪声抑制的优良特性的算法-Digital image denoising algorithms are analyzed and compared by both the details of a new protection and excellent noise suppression characteristics of the algorithm
xiaobobianhuan
- 基于小波变换的图像去噪的matlab源码，根据自己输入的噪声值而达到不同的结果。-Image denoising based on wavelet transform of the matlab source code, noise value based on their input to achieve different results.
UrbanExpansionResearchBasedOnMnfAndMadTransformati
- 针对传统变化检测方法存在的缺陷,将最小噪声比率变换(Minimum Noise Fraction, MNF)和多元变化检测(Multivariate Alteration Detection, MAD)方法应用于东营市城市扩展分析.从MNF和MAD变换获得的影像中提取的二值图像可知,检测结果总体精度达到90.1 ,Kappa系数为0.802,证明了本文方法在变化区域检测方面的可操作性和有效性.-Traditional change detection methods for defects, t
FUZABEIJINGHONGWAITUXIANGTEZHENGTIQU
- 本文的内容是基于红外图像的特征提取，在基于个数判断噪声的中值滤波器进行平滑处理的基础上,提出了一种改进的过渡区 提取方法,并将该方法应用于对比度低、宽谷直方图的复杂背景红外图像的分割。Matlab仿真 实验表明,该方法减少了图像分割的运算量,并能将具有复杂背景的红外图像目标分割得较 好。-This content is based on the infrared image feature extraction, the number of judgments based on th
A-NOVEL-SKIN-YCBCR-COLOR-SPACE
- This paper presents a new human skin color model in YCbCr color space and its application to human face detection. Skin colors are modeled by a set of three Gaussian clusters, each of which is characterized by a centroid and a covariance matr
Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
double-sampling
- CMOS图像传感器对数模式极其双采样技术，可实现对数模式下的噪声去除，国外博士论文-Logarithmic mode, the CMOS image sensor is extremely double sampling technique, can be realized on the number of mode noise removal
MATLAB
- 以六杆机构为例，研究了MATLAB的机构运动仿真方法，建立了仿真模型，设置各项参数后进行了仿真，并得出了正确的结果。与其它方法相比，最大的优点是无需建立机构运动的数学模型和编制程序，具有系统建模方便直观和仿真功能强大的特点，能大大减轻设计人员的工作，为机械系统的建模仿真提供一个强大而方便的工具-function [A] = psnr(image,image_prime,M,N) Name: Chris Shoemaker Course: E
Introduction
- Color fundus images often show important lighting variations, poor contrast and noise. In order to reduce these imperfections and generate images more suitable for extracting the pixel features demanded in the classification step, a preprocessing com
tolid_noise_GU_ba_imnoise2
- matlab for noise reduction for digital image prossesing 3
xbll
- 小波变换在图像边缘检测和降噪中的应用,小波变换在图像边缘检测和降噪中的应用,-Wavelet transform in image edge detection and noise reduction
fwd
- it is a function file 2 make noise in image processing
The-maximum-entropy-method-
- 算法通过将二维直方图分为四部分：背哥、目标．受噪声干扰的背景和受噪声干扰的目标，以选取这四部分的信息熵的和最大作为闽值的选取准则。访方法有三个优点：尽可能包括背罱部分和目标部分；可以有效地提高对噪声敷据的鲁棒性；不过度地引入噪声和边缘信息。实验结果表明，谊方法具有较好的图像分割效果。-Through two-dimensional histogram algorithm will be divided into four parts: back elder brother, target. By
denoise
- Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) n
denoise-matlab-new
- Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noi
Digital_Signal_Processing_Fundamentals_and_Applic
- Digital_Signal_Processing_Fundamentals_and_Applications This book introduces concepts of digital signal processing (DSP) and reviews an overall picture of its applications. Illustrative application examples include digital noise filtering, signal f
Moving-Object-Detection-and-Tracking
- extracting background Bit-layer-A method of achieving background is presented which detect the moving object with statistics from complex scene. Compared with other methods of achieving image background, this approach can achieve and update s
snake
- 本文针对()*+, 模型应用于图像边缘检测时对于噪音过于敏感的不足和易于从弱边界溢出!提出了一种 新的约束力" 在新的约束力的作用下!()*+, 模型可以很好地减小噪音的干扰!防止曲线溢出弱边界!并使初始曲 线具有更大的选择空间!使模型的分割性能更好" 实验证明该模型可以分割出较好的目标边界"-In this paper, ()*+ model is applied to the image edge detection too sensitive to the lack of nois
enhancement
- 图像增强最基础的相关函数的介绍，包括给图像加噪声的处理方法-Image enhancement of the introduction of the most basic function, comprising administering to the processing method of the image plus noise