k-means, mean-shift and normalized-cut segmentation

k-means, mean-shift and normalized-cut segmentation

This code implemented a comparison between “k-means” “mean-shift” and “normalized-cut” segmentationTeste methods are:Kmeans segmentation using (color) onlyKmeans segmentation using (color +

Mean-Shift Video Tracking

A complete video feature tracking method based on the Mean-Shift Theory, with GUI.

Meanshift

Helps in segmenting or clustering the given RGB image

Mean Shift Clustering

Cluster data by using the Mean Shift Algorithm

Clusters data using the Mean Shift Algorithm. testMeanShift shows an example in 2-D. Set plotFlag to true to visualize iterations.

Mean shift for finding modes

The submission finds modes in data. Data is generated from a mixture of gaussian with added outliers

kyamagu/mexopencv

Collection and a development kit of Matlab mex functions for OpenCV library

Designing and implementation of Highly Efficient object tracking system using modified mean shift t

this is a code developed for object recognition using modified mean shift tracking algorithm.

This code is designed for efficient object tracking using modified mean shift tracking to solve scale and orientation changes problem. the file contains complete code and results on my own palm and

Pattern Recognition Toolbox

Free pattern recognition toolbox for MATLAB

Stereo testbed v0.1

Testbed for analysis, evaluation and comparison of stereo matching algorithm.

pdollar/toolbox

Piotr's Image & Video Matlab Toolbox

Mean shift pixel cluster

This toy code implements the classic and basic pixel clustering using mean shifts

This is a good demo of showing how the mean shift idea works for image pixel clustering.

UnivarScatter

A univariate scatter plot for matlab

Nth_Oct_Hand_Arm_&_AC_Filter_Tool_Box

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

kristinbranson/JAABA

JAABA: The Janelia Automatic Animal Behavior Annotator

SDD_Otsu_Adaptive_Comparison with 275 syn_nucleus images

SDD, Otsu and Adaptive thresholding methods are compared with 275 synthetic nucleus images.

matSklearn

MATLAB Wrapper for scikit-learn

Continuous Sound and Vibration Analysis

This program analyzes sound and vibrations data using metrics for continuous noise and vibrations.

MGP-BBBC Algorithm for Multimodal Optimization

Multiple Global Peaks Big Bang Big Crunch Algorithm (MGP-BBBC) to solve Multimodal Optimization Problems.

jflalonde/illuminationSingleImage

Illumination estimation from a single image (ICCV'09 and IJCV'12)

Example of Doppler radar signal processing

Example of Doppler radar signal processing

Cell-segmentation-methods-comparison

Matlab implementation of several methods for cell detection and cell segmentation

Simple acoustic horn design for amplification

Simple acoustic horn designs for exponential and catenoidal horns.

Impulsive Noise Meter

Calculates Impulsive noise metrics for hazardous acoustic noise assessment.

3D Rotation about Shifted Axis

Computes/applies rotation about arbitrary 3D line.

coordinates. SYNTAX 1: M=AxelRot(deg,u,x0) in: u, x0: 3D vectors specifying the line in parametric form x(t)=x0+t*u Default for x0 is [0,0,0] corresponding to pure rotation (no shift

BlockMean

Mean of rectangular submatrices, fast C-Mex (no running mean)

BLOCKMEAN - Fast mean of rectangular submatricesThe mean of V*W elements along the 1st and 2nd dimension is calculated. This is no running mean filter: The sizes of the 1st and 2nd dimension are

SDD_Otsu_Adaptive_C​omparison with 47 U2OS images

SDD, Otsu and Adaptive thresholding methods are compared with 47 U2OS images.

Comparison of cell seg methods with NIH3T3 Dataset

The quantitative results are computed based on the NIH3T3 datasets provided by the Murphy Lab at Carnegie Mellon University

SDD_Otsu_Adaptive_C​​omparison with 197 U2OS images

SDD, Otsu and Adaptive thresholding methods are compared with 197 U2OS images.

Comparison of nucleus seg methods with BBBC005 Synth Dataset

The quantitative results are computed based on the synthetic nuclei BBBC005 datasets.

Comparison of nucleus seg methods with U2OS Dataset

The quantitative results are computed based on the U2OS nuclei datasets provided by the Murphy Lab at Carnegie Mellon University

Comparison of nucleus seg methods with BBBC039 U2OS Dataset

The quantitative results are computed based on the U2OS nuclei BBBC039 datasets.

shift

SHIFT a row or column RELATIVE to the other elements in a MATRIX.

Directory contents:readme.txtshiftl.mshiftr.mshiftu.mshiftd.mThis set of files was developed using MATLAB Version 5.2.0.3084Sometimes it is required to SHIFT a row or column RELATIVE to the other

InstantFrequencyOCMethod

Instantaneous frequency routine which is robust in case of non-zero mean and linearly shifted data.

InstantaneousFrequencies which usually occurs if the Gabor's method is applied tonon-zero mean or linearly shifted data.The algorithm is based on Osculating circle method described in: Hsu, Ming-Kuang, Jiun-Chyuan

Cumulative Mean

Calculates cumulative row/column mean of vectors, matrices and N-Dim arrays

non-singleton dimension (DIM).This function is useful to compare performance of an estimator with respect to the sample mean of a set of measurements.

Mean square displacement analysis of particles trajectories

A MATLAB class for the mean square displacement analysis of particle trajectories, with a tutorial.

Mean square displacement (MSD) analysis is a technique commonly used in colloidal studies and biophysics to determine what is the mode of displacement of particles followed over time. In particular

Improved Feature Centerline/central line extraction and cleaning

implementation of a paper (http://www.mdpi.com/2072-4292/7/10/14055)

water from non-water, by separating the overall histogram into two , and a threshold is set appropriate to distinguish water from non-water by Mean backscatter value in SAR imagery --&gt

Separable Block-wise Operations

Efficiently performs separable operations (e.g., sum, mean,prod, min, max,...) on array sub-blocks

include sum(), prod(), mean(), max(), min(),... which can be done separably along each dimension of the block, first along columns, then along rows, etc... For example, sum(B)=sum(sum(sum(B,1),2),3

1D Fourier shift

Shift 1D signals using the Fourier shift theorem.

This code uses the Fourier shift theorem to cyclically shift 1D signals by an arbitrary amount. Both integer and non-integer shifts work.It also supports padding the signal with zeros so that the

shift.m

shift the elements of an array (of any dimension)

SHIFT (A, SHIFTSIZE, PADVAL) is an extension of circshift.m, allowing both integer and fractional shiftsize along all dimensions of A, and a padding different from circular. In the case of integer

Mean Angle

Calculates the (nth dim) mean of a matrix of angles

MEANANGLE is like MEAN, but applies to angles where MEAN would not (i.e. MEAN([350 10]) giving 180 instead of 0). Unlike the other MEANANGLE on the FEX, this one does have any limitations on the

Binary Amplitude Shift Keying

BASK simulation

This script simulates the Binary Amplitude Shift keying. Since BASK is a digital modulation scheme, you can modulate as many bits as you want. however, I have only simulated it for 5 bits, so that

Shift matrix

Fast and convenient function for shifting a matrix in 2D.

The code uses array indexing to implement shifting of the matrix. It is about 2.5 times faster than using interp2 with 'nearest neighbor' option for shifting of the matrices. Inspiration for

getLinearIndependent(A,ignore_constant_shift)

Identifies groups of linearly independent columns in a matrix A

[Abasis, Abasisi, Asub]= getLinearIndependent(A,ignore_constant_shift)Purpose: Takes in a matrix of column vectors and identifiesthe subset of columns that forms a linear independent basis (Abasis

Phase shift keying

phase shift keying

2D Fourier shift

Cyclically shift a 2D matrix or image using the Fourier shift theorem.

This shifts cyclically shifts an image or other 2D matrix by an arbitrary number of pixels (which can be fractional). I haven't tested it much but the code is very short so it should be easy enough

Binary Phase Shift Keying

Binary Phase Shift Keying Simulation.

This script simulates the Binary Phase Shift keying. Since BPSK is a digital modulation scheme, you can modulate as many bits as you want. however, I have only simulated it for few bits, so that the

Calibrated Spectral Analysis

Simple Fourier Spectral Analysis of sound pressure time record.

Quadrature Phase Shift Keying

Quadrature Phase Shift Keying Signal generator

Quadrature Phase Shift Keying signal generator for analysing how two Binary Phase Shift Keying signals can be combined together to generate a Quadrature Phase Shift Keying signal. The program

System Identification Using Least Mean Forth (LMF) and Least Mean Square (LMS) algorithm

System Identification Using Least Mean Forth (LMF) and Least Mean Square (LMS) algorithm

In this simulation least mean square (LMS) and least mean forth (LMF) algorithms are compared in non-Gaussian noisy environment for system identification task. Is it well known that the LMF

simple code for cirulart reversal and circular shift

simple code for cirulart reversal and circular shift

here i have written simple function codes for circular reversal and circular shift.

JMO_Spectrum

Create, add, multiply spectrum arrays, compute color coordinates, CRI and much more.

Binary Frequency Shift Keying (BFSK) MATLAB implementation

This file contains the Matlab implementation of Binary Frequency Shift Keying (BFSK)

This file contains the Matlab implementation of Binary Frequency Shift Keying (BFSK)

Frequency Shift Keying (FSK) Modulation and Demodulation

MATLAB code for Frequency Shift Keying (FSK) Modulation and Demodulation

The Frequency Shift Keying (FSK) modulation and demodulation takes place with the input given by the user and this code doesn't need any additional toolbox.

Amplitude Shift Keying (ASK) Modulation and Demodulation

MATLAB code for Amplitude Shift Keying (ASK) Modulation and Demodulation

The Amplitude Shift Keying (ASK) modulation and demodulation takes place with the input given by the user and this code doesn't need any additional toolbox.

fast running mean

fast recersive running mean in 2D or 3D.

[outmat] = fastrunmean(inmat,win,ptype);fastrunmean computes the running mean of 'inmat' over a window of size 'win'. The argument 'ptype' controls the padding type, which decides how the edges are

DTU Mean Dynamic Topography

Mean dynamic topography from DTU

A simple interpolation function to load .nc data and interpolate mean dynamic topography described in the Andersen and Knudsen (2009) paper cited below. Download the 1 min resolution .nc data from

Shifts set of spectra to a new Maximum position

Three functions allowing to shift set of spectra to the same or different maximum of peaks

Three functions are included:1. shift_spectra_or - shifts set of spectral vectors to a new common maximum at the same accuracy as original data 2. shift_spectra - shifts set of spectral vectors to a

Shift bewteen outputs of Conditional GAN

Appends the MATLAB Conditional GAN example with the ability to shift between two generated images

One of the properties of GANs is not only generating new images from latent vectors, but the ability to manipulate the latent vectors. One example of this is to shift between two generated images

PHASE SHIFT OSCILLATOR USING OP AMP

Simulation of a RC Phase Shift Oscillator using operational amplifier

Using Operational Amplifier along with other components available in SimElectronics 1.0 RC Phase Shift Oscillator can be assembled. Simulation of the circuit works well and sine wave oscillations can

Matrix approach to discretization of ODEs and PDEs of arbitrary real order

Functions illustrating matrix approach to discretization of ODEs / PDEs with fractional derivatives.