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IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS 基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码-IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS Bayesian (BAYES) threshold wavelet (WAVELET) image denoising algorithm source code
Date : Size : 1.8mb User : adu

Free Source Code for harris corner detector Matlab实现Harris角点检测源代码 这个matlab程序可以计算并在原图像上绘制Harris角点. -Free Source Code for harris corner detector Matlab realization of Harris corner detection matlab source code for this program can calculate and draw in the original image, Harris corner.
Date : Size : 344kb User : adu

Fingerprint Image Enhancement and Minutiae Extraction
Date : Size : 2kb User : sameer

DL : 0
Median Cut Algorithm,RGB,image,algorithm,quantization,color,red,blue,green,multimedia processing,
Date : Size : 1kb User : Nil

chirp scale SAR 传统成像,可以检测和实现目标的成像-chirp scale SAR image
Date : Size : 1.85mb User : yanyn wan

Program to simulate the image compression and decompression using wavelet transformation. this program uses the matlab m codes for coding.
Date : Size : 1kb User : cpudnt

Recognition of visual patterns and characters are independent of position, size, and orientation in the visual field has been the goal of much recent research. The method presented in this paper meets all these condition. An off-line signature matching system which is based on Hu moment invariant method is presented here. Signature matching uses a four - steps process. In first step the scanned or captured color images are initially converted to grey scale. Second step performs normalization and digitization of the original signature. Noise reduction (also called “smoothing” or “noise filtering”) is one of the most important processes in image processing is performed in third step and then moment invariant vectors are obtained in the last step. Signature matching system is implemented using MATLAB and ability of the system can be increased by using additional features in the input data set.
Date : Size : 8kb User : shivshankar mishra

分水岭分割方法,是一种基于拓扑理论的数学形态学的分割方法,其基本思想是把图像看作是测地学上的拓扑地貌,图像中每一点像素的灰度值表示该点的海拔高度,每一个局部极小值及其影响区域称为集水盆,而集水盆的边界则形成分水岭。分水岭的概念和形成可以通过模拟浸入过程来说明。在每一个局部极小值表面,刺穿一个小孔,然后把整个模型慢慢浸入水中,随着浸入的加深,每一个局部极小值的影响域慢慢向外扩展,在两个集水盆汇合处构筑大坝,即形成分水岭。 -Watershed segmentation method is a topology-based theory of mathematical morphology segmentation method, the basic idea is the image as a geodesic topology on the landscape, the image pixel gray value of each point indicates that the point of the altitude, Each local minimum value and its impact area known as the catchment basins, while the catchment basins of the border, however, the formation of a watershed. Watershed concepts and immersed in the process of the formation can be illustrated through simulation. A local minimum in each surface, piercing a small hole, and then slowly immersed in water the whole model, with the deepening of immersion, each local minimum value of the influence domain slowly expanded outward, in the two catchment the confluence of building the dam basin, namely, the formation of a watershed.
Date : Size : 3.33mb User : 王帅

image segmentation From the paper : Nock, Richard and Nielsen, Frank 2004. Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26, 11 (Nov. 2004), 1452-1458.-image segmentation with statistical region merging
Date : Size : 2kb User : Qinxun Bai

文件太多,编译慢点。运行出来的图很全面,偏微分的方法全有。-Digital image inpainting
Date : Size : 6.77mb User : 伊人

détection d objet paramètrage thresh = 500 Harris corner threshold nonmaxrad = 3 Non-maximal suppression radius dmax = 100 w = 11 Window size for correlation matching Extraire les points de Harris sur chaque image [cim] = harris( image2,1) imagesc(cim) [cim1] = harris(image1,1) imagesc(cim1) [r1,c1,v1] = find(image1) [cim2] = harris(image2, 1) imagesc(cim2) [r2,c2,v2] = find(image2) Apparier les points [m1,m2] = matchbycorrelation(image1, [r1 c1 ], image2, [r2 c2 ], w, dmax) Estimer la transformation dominante -détection d objet paramètrage thresh = 500 Harris corner threshold nonmaxrad = 3 Non-maximal suppression radius dmax = 100 w = 11 Window size for correlation matching Extraire les points de Harris sur chaque image [cim] = harris( image2,1) imagesc(cim) [cim1] = harris(image1,1) imagesc(cim1) [r1,c1,v1] = find(image1) [cim2] = harris(image2, 1) imagesc(cim2) [r2,c2,v2] = find(image2) Apparier les points [m1,m2] = matchbycorrelation(image1, [r1 c1 ], image2, [r2 c2 ], w, dmax) Estimer la transformation dominante
Date : Size : 1.07mb User : seb831

基于PCA的图像分类的方法,该方法效果好,易理解。-PCA-based image classification method, the method effective, easy to understand.
Date : Size : 1.27mb User : luoze

DL : 0
Documentación sobre image stitching
Date : Size : 877kb User : andrew_84

在matlab环境下对图像进行四叉树分解,在此基础上对图像进行分析-In the matlab environment, an image quad-tree decomposition, in this based on image analysis
Date : Size : 1kb User : 骆亮

Matlab_基于角点信息和透视变换的图像镶嵌,可以对图像进行角点的处理和变化-Matlab_ Based on Corner of information and perspective transformation of the image mosaic, you can right corner of image processing and changes in
Date : Size : 278kb User : zhouwuzhengwang

it includes wasveletcdf9-7 used in jpeg and code for image tiling -it includes wasveletcdf9-7 used in jpeg and code for image tiling ..
Date : Size : 3kb User : anshul khandelwal

DL : 0
image filtering using matlab-image filtering using matlab...
Date : Size : 1kb User : anshul khandelwal

facial farts tracking in a image using matlab.
Date : Size : 84kb User : amijeet

Complete Face Recognition System using LDA (with visiable training image set and testing image set-Complete Face Recognition System using LDA
Date : Size : 5.27mb User : 欧阳西

Demo to illustrate simple blob detection (sementation), measurement, and filtering. Requires the Image Processing Toolbox (IPT) because it demonstrates some functions supplied by that toolbox, plus it uses the "coins" demo image supplied with that toolbox. If you have the IPT (you can check by typing ver on the command line), you should be able to run this demo code simply by copying and pasting this code into a new editor window, and then clicking the green "run" triangle on the toolbar.
Date : Size : 6kb User : zhenhao
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