In the computer science field of artificial intelligence, a 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. genetic... MatlabMatlab
This Matlab code is used to compress image using Huffman algorithm. There are two main function in this code packet, im2huff and huff2im. im2huff convert an digital gray level image into a structure variable. huff2im does inversely.
The structure variable has 5 fields:... MatlabMatlab
Travelling salesman problem is the project that find the minimum distance of all. i assume the data of city 927 cities to this project. and i need to use the genetic algorithm,GA and solve this program using Matlab... MatlabMatlab
Code for content based image retrieval
Region Based image retrieval (RBIR) is an extension of content-based image
retrieval techniques . Region-based image retrieval systems provide new query
types to search for objects embedded in anarbitrary environment. An RBIR system
automatically se... Image EditingC#
The project domain is Active Learning for interactive image retrieval. This project has five modues namely Comparableimage,
imageUtility,RgbProjections,Similarityimages and the retrieval. It shows graphical records of the images also. ... Image ProcessingC#
genetic algorithm is an evolutionary algorithm, the basic principle is to emulate the biosphere in the "natural selection, survival of the fittest," the evolution of the law. Approach the problem of genetic algorithm parameters are encoded as chromosomes, re-use an iterative manner, such as selectio... AlgorithmMatlab
//Example 5-1. Doing something with each element in the sequence of connected components returned
// by cvPyrSegmentation(
/* *************** License:**************************
Oct. 3, 2008
Right to use this code in any way you want without warrenty, support or any guarentee of it workin... Image ProcessingC++
In 31 cities, with genetic algorithm for solving TSP problems, gives the source program. You can run!
genetic algorithm is to mimic biological evolution and natural selection mechanisms, simulation of bio-genetic and evolutionary processes in the environment to form an adaptive search algorithm... AlgorithmC
Mammography has been shown to be the most effective
and reliable method for early cancer detection . Two
different techniques are used in the interpretation ofmammograms.
The first technique consists of a systematic search of
eachmammogramfor visual patterns symptomatic of tumors.... Image ProcessingMatlab
6 variable input using genetic algorithms, 50, a hidden layer, 3 output variables constitute the neural network model for training, that contains the source data and source code, you can directly modify the application.... AlgorithmMatlab
Nonlinear programming is an emerging discipline in the 1950s began to form. 1951 HW Kuhn and AW Tucker published on optimality conditions (later known as the Kuhn Tucker conditions) is an important sign papers nonlinear programming officially born.
Planning a nonlinear function of n real prob... AlgorithmMatlab
Features using hyperspectral data classification using KNN algorithm (k-nearest neighbor) and classification the GDA algorithm.
The main contents are as follows:
Introduce two kinds of classification algorithm -- K nearest neighbor and Gauss discriminant analysis.... Image ProcessingMatlab