# Color Image Segmentation Matlab Code

Color Image Segmentation is difficult for young students, so we collected some matlab source code for you, hope they can help.

Color Image Segmentation is difficult for young students, so we collected some matlab source code for you, hope they can help.

ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.

median filter is a nonlinear digital filtering technique, often used to remove noise. The main idea of the median filter is to run through the signal entry by entry, replacing each entry with the median of neighboring entries.

Wiener filter is a filter used to produce an estimate of a desired or target random process by linear time-invariant filtering an observed noisy process, assuming known stationary signal and noise spectra, and additive noise. The Wiener filter minimizes the mean square error between the estimated random process and the desired process.

Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of the irides of an individual's eyes, whose complex random patterns are unique and can be seen from some distance.

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints.

Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing. The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.

Secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f. The secant method can be thought of as a finite difference approximation of Newton's method. However, the method was developed independently of Newton's method, and predated the latter by over 3,000 years.

Gabor filter is a linear filter used for edge detection. Frequency and orientation representations of Gabor filters are similar to those of the human visual system, and they have been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave.

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. The method is useful in images with backgrounds and foregrounds that are both bright or both dark.

Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity.

Artificial neural networks (ANNs) are computational models inspired by an animal's central nervous systems (in particular the brain) which is capable of machine learning as well as pattern recognition. Artificial neural networks are generally presented as systems of interconnected "neurons" which can compute values from inputs.

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

Kalman filter is an algorithm that uses a series of measurements observed over time, containing noise (random variations) and other inaccuracies, and produces estimates of unknown variables that tend to be more precise than those based on a single measurement alone.

Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method.

A fast Fourier transform (FFT) is an algorithm to compute the discrete Fourier transform (DFT) and its inverse. Fourier analysis converts time (or space) to frequency and vice versa; an FFT rapidly computes such transformations by factorizing the DFT matrix into a product of sparse (mostly zero) factors.

Radix-2 FFT

The bisection method in mathematics is a root-finding method that repeatedly bisects an interval and then selects a subinterval in which a root must lie for further processing. It is a very simple and robust method, but it is also relatively slow. Because of this, it is often used to obtain a rough approximation to a solution which is then used as a starting point for more rapidly converging methods.The method is also called the interval halving method, the binary search method,or the dichotomy method.

Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

**Image segmentation** is the process of partitioning a digital image into multiple segments (sets of pixels, also known as superpixels).

**Face detection** is a computer technology that determines the locations and sizes of human faces in digital images. It detects face and ignores anything else, such as buildings, trees and bodies. Face detection can be regarded as a more general case of face localization. In face localization, the task is to find the locations and sizes of a known number of faces (usually one).

Face recognition, also called facial recogniton and face detection is the process to identify or verify a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database.

The following Matlab project contains the source code and Matlab examples used for mine sweeping.
Run main.

The following Matlab project contains the source code and Matlab examples used for tprintf print to second terminal window.
Terminal Print
c = tprintf( FigureName, Text );
Example:
tprintf( 'MyMessages', 'Hello world in 2nd terminal!' );
sends text 'Hello world in 2nd terminal!' to a window with the name MyMessages.

The following Matlab project contains the source code and Matlab examples used for handbook of graphical user interface (spanish!).
This manual contains several examples of how programming the Graphical User Interface (GUI).
For more information, visit: www.matpic.com

The following Matlab project contains the source code and Matlab examples used for serial downloader.
The objective is to demonstrate how to create sniffer to scan for (published or hidden) files on a server.
This is meant to be a harmless demo for code collectors.
main executing reference usages: usage_serialDownload

The following Matlab project contains the source code and Matlab examples used for binary genetic algorithm feature selection.
This submission contains
(1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks.

The following Matlab project contains the source code and Matlab examples used for colorbrewer attractive and distinctive colormaps.
One function provides the complete selection of the ColorBrewer colorschemes, especially intended for mapping and plots with attractive, distinguishable colors.

The following Matlab project contains the source code and Matlab examples used for this file can read 3d polygonal meshes .
this file can read 3D objects only on ply format

The following Matlab project contains the source code and Matlab examples used for interactive smoothing, differentiation, peak sharpening and measurement of time-series signals. .
function function [pY,SpectrumOut]=isignal(DataMatrix,xcenter,xrange,sm,sw,em,dm,rm,s1,s2,sr,mw)
Version 3.