selva-alz's Stars
cominsys/Fuzzy-clustering-based-on-FOA
Fuzzy clustering based on Forest optimization algorithm in Matlab
doodzhou/Fuzzy-Rouh-Set
Feature selection based on Fuzzy Rough Set in Matlab
DevendraPratapYadav/Fuzzy_Image_processing
Noise reduction and Edge detection using Fuzzy Logic methods in MATLAB
nickgkan/neuro-fuzzy-vehicle-controller
Fuzzy and Neuro-Fuzzy Vehicle Navigation with MATLAB
poisonfox/ICP
Iterative closest point algorithm for aligning two 3D point clouds
ToughStoneX/3D_ICP
ebrevdo/synchrosqueezing
The MATLAB Synchrosqueezing Toolbox
UTS-RI/Matlab-Graph-Optimization
Matlab: Optimization for Nonlinear Least Squares
whatwg/html
HTML Standard
seo2730/Filter_algorithm_by_MATLAB
Average Filter, Moving Average Filter, Lowpass Filter, Kalman Filter
Tejesh-Raut/Unsharp-Masking-Digital-Image-Processing
code for image sharpening using unsharp masking in matlab
42isTheAnswer42/Matlab-REALTIME-UnsharpMasking-Tool
Matlab-Tool: You can detect and repaint the edges of any picture. Its realtime so you can see what the result is. To run the GUI you need to have Matlab installed. Run StartGui.m within Matlab Environment.Download Trial Software here:
Terminou/Spatial-Filtering
KishanRamoliya/Histogram-Equalization-Logarithmic-Mapping-Image-Rotation-Gaussian-Averaging-Filter-Median-Filter
Implementation of Histogram Equalization, Logarithmic Mapping, Image Rotation, Gaussian Averaging Filter and Median Filter. Histogram equalization is a method using which we can adjust image intensities that will enhance the contrast of the image. By applying the histogram, the intensities of the image can be distributed properly which will allow the area with lower contrast to gain proper higher contrast. To compress the dynamic range of an image we can replace each and every pixel value with their log values. By implementing this, we enhance the low intensity pixels of the image. Logarithmic mapping is a simple point process in which the mapping function is a log curve. Since the logarithm is not defined for, the equation of the log mapping function looks like given below: 𝐼′(𝑟,𝑐)=log(𝐼(𝑟,𝑐)+1). Rotation is the operation that will perform the geometric transformation of the image element which will be rotated at the given angle about an origin. Gaussian filter have a special type of property of not having any overshoot towards a step input function and it minimizes the fall and rise time, thus it has minimum delay in group. Due to this property the Gaussian filter is considered the ideal time domain filter. Median filter is basically used to remove the nonlinear noise in the images. Generally this is used in the preprocessing step in different image processing algorithms. The most significant reason to use the median filtering is that it preserves the edge information even after removing the nonlinear noise.
codyaray/halftoning
An image printing program based on the concept of halftoning.