3d image processing using matlab

MATLAB Image Processing _ directly operate on the pixel for color conversion, matlab Image Processing Requirement Directly operate the pixels of the RGB image and perform color-related

MATLAB Image Processing _ homomorphic filtering, matlab Image Processing homomorphic Homomorphic filtering: uses the generalized superposition principle to filter the homomorphic system. Homomorphic filtering is an

Mutual Conversion Between MATLAB Image Processing _ HSV and RGB color space, and MATLAB _ HSV The following code is a self-carried Conversion Function in matlab. It is posted here to facilitate future review and Study of Its Conversion Algorithm: HSV space: H (tone) -- S (s

MATLAB Image Processing _ Fourier transformation, matlab Fu Li Use relevant functions such as fft in matlab. The Code is as follows: Clear‑clc‑img‑imread('test.jpg '); img = rgb2gray (img); f = fft2 (img); % Fourier transform f = fftshift (f); % symmetric

calculation formula:Average grayscale:(3-2)Variance:(3-3)It can be transformed into a transformation function (linear mapping) with the same mean and variance, in the form of the following:(3-4)where σ0 and U 0 are the given transformation parameters. Grayscale normalization can be used to generate a number of commonly used average models.3.1.2 Nonlinear point operationNonlinear point operations correspond to nonlinear mapping functions, and typical mappings include square functions, logarithmi

The error rejection rate and false recognition rate are two concepts in image processing. The false rejection rate refers to the error rejection, which refers to intra-class matching. If there are 10 samples of volunteers, each of them has 20 samples. Then, compared with in-class tests, for example, the 20 images in the same category of volunteers on the first day can be matched with each other. Assuming th

Avizo software is a powerful visualization software released by VSG specifically for the Earth Geological Science, material science, CAE Engineering Computing and other powerful visualization software. Avizo software is a comprehensive set of visualization tools to help people display, process, and understand engineering science data. The powerful data processing capabilities provided by avizo and the easy-to-use user-friendly graphical interface can

intention is not to compare the advantages and disadvantages of MATLAB with Photoshop or other image processing software. I just want to express a point of view. As a programmer, we can have different practices for the same thing. In terms of image processing,

(' Disk ', 10); % disk-shaped offset matrix disk=imfilter (I,H1); % convolution subplot (223), imshow (disk), title (' Disk ') h2=fspecial (' Unsharp '); % passivation Fuzzy offset matrix unsharp=imfilter (I,H2); % convolution subplot (224); Imshow (Unsharp); title (' Unsharp ')　　It's so shy to put my own handsome picture on the damn.The main is the understanding of several functions inside.Let me explain it as I understand it.H-Matrix: It's easy to see that the

Http://www.matlabfan.com/thread-646-1-1.html Author]Edited by Hu Xiaofeng and Zhao Hui [Press]People's post and telecommunications Publishing House 【Contents]This book systematically introduces the basic principles, typical methods, and practical technologies of image processing and recognition. The book consists of 12 chapters, Chapter 1st ~ Chapter 2 is the basic content of

noise image ')K1 = filter2 (fspecial ('average', 3), i1)/255; % perform 3*3 Template smoothing filteringK2 = filter2 (fspecial ('average', 5), i1)/255; % Perform 5*5 template smooth filtering K3 = filter2 (fspecial ('average', 7 ), i1)/255; % for 7*7 Template smooth FilteringK4 = filter2 (fspecial ('average', 9), i1)/255; % perform 9*9 template smoothing filteringSubplot (233), imshow (K1); Title ('3*3 Template smoothing filter ');Subplot (234), imsh

White balance, that is the so-called white balance.White balance algorithm has many, here is recorded is the simplest practical white balance algorithm, that is the grey World law!Gray World algorithm is based on the gray world hypothesis, which assumes that for an image with a large number of color changes, the average value of R, G, and B three components tends to be the same gray K.The following is the specific algorithm code:Rgb=imread (' test.jpg

Using MATLAB, a smallProgramExtract the R, G, and B components of the image. Test 1 Clear 2 RGB = imread ( ' Li lianjie .jpg ' ); 3 Rgb_r = RGB (:,:, 1 ); 4 Rgb_g = RGB (:,:, 2 ); 5 Rgb_ B = RGB (:,:,3 ); 6 Zero = zeros ( 200 , 160 ); 7 R = CAT ( 3 , Rgb_r, zero, zero ); 8 G = CAT ( 3 , Zero, rgb_g, zero ); 9 B = CAT ( 3 , Zero, zero, rgb_ B ); 10 RGB =

Quick implementation of arbitrary convolution (conv2 function in matlab) in image processing. Convolution is actually the most basic operation in image processing. Some of our common algorithms include mean blur, Gaussian blur, sharpening, Sobel, Laplace, prewitt edge detect

cosine transforms Fft2 Calculate two-dimensional FFT Dct2 Calculate 2D Discrete Cosine transform Ifft2 Calculation of two-dimensional inverse FFT Idct2 Calculate 2D inverse Discrete cosine transform Fftn Calculate Multidimensional FFT Dctmtx Calculating the TCT matrix Ifftn Calculation of multidimensional inverse FFT Radon Calculate Radon Transformations Fftshift

imgn(i,j)=sum(sum(img(i-r:i+r,j-r:j+r).*w)); endendfigure;imshow(mat2gray(imgn));figure;img=imfilter(img,w);imshow(mat2gray(img)) Filterim. m (main functions ): Function imgn = filterim (IMG, W) [R] = size (w); [m n] = size (IMG); If Mod (R, 2) = 0 r = R + 1; W = imresize (W, [R]); End imgn = zeros (m, n); r = floor (R/2 ); for I = 1: m for j = 1: N % the image needs to obtain the convolution range of the four boundaries

Http://dev.gameres.com/Program/Visual/3D/3Darit.htmFloat type Data valid number is 6 digits after decimal point single precisionDoluble type data is at least 10 bits, double precisionThe assignment is by default a double type, so the cast (FLOAG) or initialization data is appended with 1.0fDouble type data is faster than float in operationsEmbedded device float faster than double, you can test the verification in TI DSP!Game development Basic