Search histogram matching of 2 grayscale images, 300 result(s) found

stereo matching code

This is a stereo matching full code under MATLAB, comes from a University abroad routine contains detailed. m file and cross compiling cpp and h files, suitable for carefully studying specific algorithms...


close all; clear all clc; I = imread('lavender.jpg'); imshow(I),figure I = im2double(I); [index,map] = rgb2ind(I); pixels = prod(size(index)); hsv = rgb2hsv(map); h = hsv(:,1); s = hsv(:,2); v = hsv(:,3); %Finds location of black and white pixels darks = find(v < .2)'; lights = find...

Blend images

A demo of very simple image manipulation using a Parallel.For loop.  The application allows the user to load up two images and blends them together into a single, new image.         ...

histogram calculation and display based on Leonardo da Vinci DM6437

Connect the computer and DSP emulator for all lab equipment is powered on, open the CCS3.3 and connect card. Plug the video cable connection Board input, connect the monitor inputs on the other side, turn to AV mode the display. Open the project histogramDiagram.pjt, compile, download and run. The f...

Convert color images to grayscale images in the OpenMP+Cuda accelerated video, extraction of video image edge

Objective: to speed up video converting color images to grayscale images, extraction of edges in video images. Development environment: Windows 8.1 x64 OS   vs2012 cuda5.5  opencv2.4.8 hardware:NVIDIA  GeForce GT 740M, 4G RAM, Intel (r) Core (TM) i5-4200MCPU @2.50GHz need to conf...

histogram comparison

histogram contrast achieve two images, the use of four ways to calculate the reference map and target map similarity, one of the most commonly used is pasteurized distance calls opencv histogram comparison class, directly implement calculations, pay attention to get Pap distance the smaller the valu...

MATLAB training program (histogram matching)

MATLAB training program (histogram matching) histogram matching, or called a histogram specification can, is according to the given image histogram the histogram to be mapped, so that the new image histogram of distribution are similar to a given function. Total has the following steps: 1. functions...

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