Certainly! Below is a simple MATLAB implementation of the Split and Merge algorithm for image segmentation:
function segmented_image = split_and_merge(image, threshold)
% Convert image to grayscale if it's not already
if size(image, 3) == 3
image = rgb2gray(image);
end
segmented_image = split(image, threshold);
end
function region = split(image, threshold)
% Get size of the image
[rows, cols] = size(image);
% Base case: if the region is small enough, return it
if (rows <= 1) || (cols <= 1)
region = image;
return;
end
% Calculate mean and variance
mean_val = mean(image(:));
var_val = var(double(image(:)));
% If variance is less than the threshold, merge the region
if var_val < threshold
region = mean_val * ones(size(image));
else
% Otherwise, split the region into quadrants
mid_row = floor(rows / 2);
mid_col = floor(cols / 2);
region = [split(image(1:mid_row, 1:mid_col), threshold), split(image(1:mid_row, mid_col+1:end), threshold);
split(image(mid_row+1:end, 1:mid_col), threshold), split(image(mid_row+1:end, mid_col+1:end), threshold)];
end
end
This code defines a simple split-and-merge algorithm that segments an image based on a specified variance threshold. Note that this is a basic implementation and may require further refinements for practical applications.
matlab code for convolutional coding and BCH coding
http://www.mathworks.com/matlabcentral/fileexchange/3649
yes
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gram schmidt matlab code
There is a lot of information on the net about SVMs, and some matlab toolboxes contain the implemented code (i.e. SPIDER). Also look into "svmclassify and svmtrain" on matlab which seems to be a part of the Bioinformatics Toolbox. You can find good tutorials on VC Dimension and SVMs at http://www.autonlab.org/tutorials If you want to look at some brief matlab code, check out: Technical Report: "Support Vector Machines for Classification and Regression" by Steve R. Gunn from the University of Southampton (1998).
Please check the help files of the matlab circular convolution . Matlab already has a readymade function for it.
To write code in MATLAB, you can use the MATLAB Editor, which allows you to create scripts and functions. You begin by opening a new script file, where you can input your code, including variables, loops, and functions. Once your code is written, you can save the file with a .m extension and run it by typing the filename in the command window. MATLAB also provides extensive documentation and built-in help to assist with coding.
try dsplpc
You would have to write your own code for a modulation (Matlab has a convolution function not in the tools), otherwise you can use its built in function in the signal processing toolbox.
>>input_img = imread['n.jpg']; >>imshow[input_img];
i want to do validation to my image folder