mrTools

mrTools - matlab based tools for fMRI

Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

Image contrast enhancement method using AGCWD

Enhance the contrast of an image by using the paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution". You can download it at

Image contrast enhancement brightness preservation using optimal gamma correction and weighted sum

Image contrast enhancement brightness preservation using optimal gamma correction and weighted sum

simultaneously by casting the quest of such solution to an optimization problem. Specifically, the non-linear gamma correction method is adopted to enhance the contrast, while a weighted sum approach is employed

PhysTrack

PhysTrack is an Open Source Matlab Library for Video Tracking Developed by PhysLab (LUMS, Pakistan).

Image Correction using Deep Learning

Examples show how to perform image correction by using deep neural networks

The following featured examples show how to perform image correction by using deep neural networks.- Gaussian noise reduction by using a denosing network DnCNN- Row/column noise reduction by using a

Contrast Stretching

This code is used for demonstration of Contrast Stretching

This code is used for demonstration of Contrast Stretching. In the code the minimum intensity value of pixel of input image is mapped to 0, whereas the maximum intensity value of pixel of input image

Contrast Stretching

A simple image enhancement technique that attempts to improve the contrast of an Image.

Contrast stretching is a simple image enhancement technique that attempts to improve the contrast in an image by `stretching' the range of intensity values it contains to span a desired range of

Contrast Stretch and Normalization

Stretches contrast on the image and normalize image from 0 to 1

Stretches contrast on the image and normalize image from 0 to 1. The main difference of this function to the standard stretching functions is that standard function finds global minimum and maximum

Active Power Factor Correction

Simulink model used in the "Power Factor Correction Control" MathWorks video

This submission contains a Simulink model and a MATLAB script that was used in the “Power Factor Correction Control” MathWorks video. The model contains a cascaded digital controller for active power

Contrast sensitivity function (Barten's model)

Calculate contrast sensitivity values of input spatial frequencies using the Barten's model

Calculate contrast sensitivity values of input spatial frequencies using the Barten's model. Input parameters include spatial frequency (cycle/degree), display luminance (cd/m2), surrounding

load_ifile(filename,offset_correction)

Allows MATLAB to load internal combustion engine pressure data stored in the AVL I-File format

Perspective Control/ Correction

The objective is to give a simple demonstration on perspective control using 4 corners of a plane.

Image contrast enhancement by HE techniques

Image contrast enhancement by Histogram Equalization techniques

Image contrast enhancement by Histogram Equalization techniques (RMSHE, ClaHE, ...)

WindowLevel

Enable setting the window level (contrast and brightness) by dragging

Enable setting the window level (contrast and brightness) by draggingThis function allows you to adjust the window and level (contrast and brightness) of images by dragging. This is especially useful

CDF matching bias correction method in MATLAB

Cumulative Distribution Function (CDF) matching bias correction method for bias correcting the precipitation or soil moisture products.

This code will reduce the systematic error present in the modelled or satellite-derived products data through CDF bias correction method. You need to change the data in the "Sample_data.csv". For

Image Contrast Enhancement for Brightness Preservation Based on Dynamic Stretching

Image Contrast Enhancement for Brightness Preservation Based on Dynamic Stretching

Histogram equalization is an efficient process often employed in consumer electronic systems forimage contrast enhancement. In addition to an increase in contrast, it is also required to preservethe

Local Contrast Descriptor

Texture Classification on UIUC dataset

Local Contrast Descriptor (LCD): This is a sample code of the paper that we proposed in [1]. The paper proposes local contrast evaluated pixel wise and uses it in a dense fashion for classification

Gray level transformations such as contrast stretching, negative, power law transformation

Gray level transformations such as contrast stretching, negative, power law transformation etc

Study of Gray level transformations in Images such as contrast stretching, negative, power law transformation, bit plane slicing ,single and double thresh holding. Simple code, easy to understand.

Gamma Correction

Gamma correction.

This is a small function to calculate the Gamma Correction for a input image file.

AUTO CONTRAST

Automatic adjustment of contrast of images

Automatically adjusts the contrast of images(color/gray) to the "optimum" level, using contrast stretching.

RAAA EOG Correction Program

Correct, and plot the data recorded by the EEG from corruption of EOG

EOG Correction program is used to work out the amount of ocular potential recorded by the electroencephalograph [EEG] (as a proportion of the potentials recorded by the electrooculograph [EOG]), and

Phase-detection signal processing toolbox

Signal processing code for dual-tip phase-detection probe measurements in highly aerated flows

Camera Color Correction Toolbox

This toolbox makes it easy to calculate the optimal color correction matrix (CCM) for digital camera color correction.

Camera Color Correction Toolbox makes it easy to calculate the optimal color correction matrix between the camera responses and the targets by minimizing nonlinear loss function. This toolbox can

Image Manipulation Toolbox

MATLAB Image Manipulation Toolbox

generationImage viewer with support for alpha and 4D image browsingImage blending, compositing and masking toolsColor adjustment in various color modelsContrast or chroma enhancement via levels/curves tool (RGB or

Bonferroni-Holm Correction for Multiple Comparisons

Adjusts a family of p-values via Bonferroni-Holm method to control probability of false rejections.

Bonferroni-Holm (1979) correction for multiple comparisons. This is a sequentially rejective version of the simple Bonferroni correction for multiple comparisons and strongly controls the

MRI segmentation and bias field correction

This code implements the MICO algorithm for MRI tissue segmentation and bias field correction.

This package includes the Matlab code that implements the method for tissue segmentation and bias field correction in Chunming Li et al's paper: "Multiplicative intrinsic component optimization

The HDR Toolbox

The HDR Toolbox is a toolbox for processing High Dynamic Range (HDR) content.

Background correction

Compute an estimation of the background (aka baseline) in chemical spectra.

multi-taper coherence method with bias correction

Multi-taper coherence using adaptive weights, bias correction, and phase confidence estimation.

Pebble Game

A MATLAB Toolbox for Two-Dimensional Rigidity Percolation: The Pebble Game

step by step.Never generating extra variables to contaminate workspace.Generating good figures for papers.We sincerely hope our toolbox facilitates research and teaching. Anysuggestions, corrections, and

Gamma correction using the sRGB and Adobe RGB standards

Gamma correction using the sRGB and Adobe RGB standards

Linearize gamma-corrected RGB values (from sRGB or Adobe RGB 1998 to linear RGB) and apply gamma correction to linear RGB values (from linear RGB to sRGB or Adobe RGB 1998). Reference: 1) Ebner, Marc

Interactive contrast adjustment tool running on Labeler apps

Interactively change image window width and window center to improve contrast and brightness for pixel level labeling

An image with good contrast has sharp differences between black and white, and this helps us to label ground truth data since we can find the edge of objects clearly. However, the image we want to

emmeans

Estimated marginal (predicted) means from generalized linear mixed effect models in Matlab

variables or categorical-continuous interactions).For hypothesis testing, the main difference between using these functions and the native support (e.g. coefTest) is that contrast_wald can take contrasts of

Contrast Limited Adaptive Histogram Equalization (CLAHE)

Best to read the reference in "Graphics Gems IV", Academic Press, 1994 pages 474-485

This is an image contrast enhancement algorithm that overcomes limitations in standard histogram equalization (HE). The two primary features is adaptive HE (AHE), which divides the images into

Co-Blade: Software for Analysis and Design of Composite Blades

Analysis and design of composite blades for wind and hydrokinetic turbines

Image Dehazing.zip

Single Image Dehazing using multiple fusion technique

Electrolyzer modelling toolbox

Water electrolysis modelling toolbox for UI curve parametrization

Flux Reconstruction (FR/CPR)

Advect Information using Correction Via Reconstruction Method

nachos

Nifty Analysis of CHemical Optical Spectra

MTCNN Face Detection

Face detection and landmark localisation using deep learning.

Microscopy Image Browser (MIB)

MIB is a package for segmentation of multi-dimensional (2D-4D) microscopy datasets

Hybrid Elephant Herding Optimization and TOPSIS approach

EHO and TOPSIS approach for multiobjective/MCDM DER/DG integration in distribution networks

Nth_Oct_Hand_Arm_&_AC_Filter_Tool_Box

Features Nth octave band, Hand Arm, and A and C weighting filters

SOLAR_GUI

Interactively analyse your solar heater's/PV performane

Matlab Code of Robust GM-Estimator for Power System State Estimation using Projection Statistics

The matlab code for robust power system state estimation.

colorStudioMax: ColorBrowser+dictionary, colorBlind correct

Color Browser with dictionary, colorBlind correction & Philips Hue control

:'normal mode' : no modification, normal vision'deuteranomalous correction 1' : R/G Equalize for color blind viewer, setting = weak'deuteranomalous correction 2' : R/G Equalize for color blind viewer

Kilosort

Fast and accurate spike sorting toolbox

linstats 2006b

linear multivariate statistics

LTE Cell Search (from A/D samples to PBCH MIB decoding)

Decode TDD/FDD LTE PBCH MIB message from 1.92Msps A/D samples.

Nonlinear Non-Uniformity Correction and Emulation

Tools for per-pixel NUC determination and per-pixel forward modeling

). Centering and scaling of the x variable is accommodated. Additionally, a power-law can also be fit in the forward direction. For correction, a polynomial is used to drive the response to the desired

Neuro-Fuzzy and Soft Computing

Companion Software

neuropoly/axonseg

AxonSeg is a GUI that performs axon and myelin segmentation on histology images.

DB-KIT

DB-KIT provides useful tools for data-driven process monitoring, prognosis and fault diagnosis. http://homepage.hit.edu.cn/jiangyuchen

nu_corrector

nu_corrector is a tool for correcting vignetting and bias of image.

. intensity inhomogeneity, illumination etc.). This tool is an implementation of our single-image based vignetting or bias correction systems based on the sparsity property of image gradient

Zeffiro Forward and Inverse Interface for Complex Geometries

Interface for using finite elements in inverse problems with complex domains

CONTRAST CONTROLLER

Contrast Adjustment of Images

Two algorithms to adjust the contrast level of images are coded. One of the method is contrast stretching.Works for both gray and colored images.

Correctly proportion a lat/lon plot

Correctly proportions a lat/lon plot based on a spherical Earth assumption

textborder - Higher contrast text using a 1-pixel-thick border

Draws text on a figure with a 1-pixel-thick border.

This function draws text on a figure with a 1-pixel-thick border, which may be useful when simple text would be hard to read due to low contrast.TEXTBORDER(X, Y, STRING)Creates text on the current

Edge based contrast measure for Image enhancement quality assessment

Edge based contrast measure for measuring image enhancement quality

measure the intensity of edge pixels in small windows of the image. Ref: A. Beghdadi and A. L. Negrate, “Contrast enhancement technique based on local detection of edges,” Comput. Vis. Graph. Image Process

Boxplot correction for tikz export

Workaround to export boxplots correctly with matlab2tikz()