What is purpose of the target varriable?

function [Instances T_target]=create_learning_set()

%% create data set for each texture class

%for cloud class

srcFiles = dir('colored_textures\LearningSet\cloud\*.jpg'); % the folder in which images exists

Iin=[]; %this hold the data as input to the neural network

Target=[]; %this holds the target or the required result for each class, we put it manully.

%read the folder containing the cloud images

for i = 1 : length(srcFiles) % determins how many images are there in the folder, this loop will be executed 3 times because cloud folder has 3 images

    filename = strcat('colored_textures\LearningSet\cloud\',srcFiles(i).name); %this will include the filename after the directory name

    I = imread(filename); %read the image

    F=get_image_features(I); %create feature vector for the image

    Iin=[Iin F']; %concatenate the feature vector to the store of features

    Target=[Target, 100];%concatenate the target value for each feature vector

end

%for gravel class

srcFiles = dir('colored_textures\LearningSet\gravel\*.jpg'); % the folder in which ur images exists

for i = 1 : length(srcFiles)

    filename = strcat('colored_textures\LearningSet\gravel\',srcFiles(i).name);

    I = imread(filename);

     F=get_image_features(I); %create feature vector for the image

    Iin=[Iin F']; %concatenate the feature vector to the store of features

    Target=[Target, 200];%concatenate the target value for each feature vector

end

%for wood class

srcFiles = dir('colored_textures\LearningSet\wood\*.jpg'); % the folder in which ur images exists

for i = 1 : length(srcFiles)

    filename = strcat('colored_textures\LearningSet\wood\',srcFiles(i).name);

    I = imread(filename);

    F=get_image_features(I); %create feature vector for the image

    Iin=[Iin F']; %concatenate the feature vector to the store of features

    Target=[Target, 300];%concatenate the target value for each feature vector

end

%for jute class

srcFiles = dir('colored_textures\LearningSet\jute\*.jpg'); % the folder in which ur images exists

for i = 1 : length(srcFiles)

    filename = strcat('colored_textures\LearningSet\jute\',srcFiles(i).name);

    I = imread(filename);

    F=get_image_features(I); %create feature vector for the image

    Iin=[Iin F']; %concatenate the feature vector to the store of features

    Target=[Target, 500];%concatenate the target value for each feature vector

end

%for water class

srcFiles = dir('colored_textures\LearningSet\water\*.jpg'); % the folder in which ur images exists

for i = 1 : length(srcFiles)

    filename = strcat('colored_textures\LearningSet\water\',srcFiles(i).name);

    I = imread(filename);

    F=get_image_features(I); %create feature vector for the image

    Iin=[Iin F']; %concatenate the feature vector to the store of features

    Target=[Target, 600];%concatenate the target value for each feature vector

end

%for sanke class

srcFiles = dir('colored_textures\LearningSet\sanke\*.jpg'); % the folder in which ur images exists

for i = 1 : length(srcFiles) filename = strcat('colored_textures\LearningSet\sanke\',srcFiles(i).name); I = imread(filename); F=get_image_features(I); %create feature vector for the image Iin=[Iin F']; %concatenate the feature vector to the store of features Target=[Target, 700];%concatenate the target value for each feature vector end

T_target=Target;

Instances=Iin;

end

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/13205-tutorial-how-to-format-your-question-with-markup

Answer 1

[Walter Roberson]

It is an arbitrary class (group) number to distinguish between the classes. All members of the same class of textures are given the same class number (target)