image_quantization


image_quantization, a MATLAB code which demonstrates how the KMEANS algorithm can be used to reduce the number of colors or shades of gray in an image.

Licensing:

The computer code and data files described and made available on this web page are distributed under the MIT license

Languages:

image_quantization is available in a MATLAB version.

Related Data and Programs:

image_boundary, a MATLAB code which reports the pixels which form the boundary between the black and white regions of a simple image.

image_components, a MATLAB code which seeks the connected "nonzero" or "nonblack" components of an image or integer vector, array or 3d block.

image_contrast, a MATLAB code which applies image processing techniques to increase the contrast in an image.

image_decimate, a MATLAB code which compresses an image by dropping the even rows and columns of data.

image_denoise, a MATLAB code which applies image processing techniques to remove noise from an image.

image_diffuse, a MATLAB code which uses diffusion to smooth out an image.

image_double, a MATLAB code which doubles the height and width of an image by repeating each row and column.

image_edge, a MATLAB code which demonstrates a simple procedure for edge detection in images.

image_noise, MATLAB codes which add noise to an image.

image_quantization_test

image_rgb_to_gray, MATLAB codes which makes a grayscale version of an rgb image.

image_threshold, MATLAB codes which make a black and white version of a grayscale image by setting all pixels below or above a threshold value to black or white.

kmeans, a MATLAB code which contains several different algorithms for the k-means problem.

Reference:

  1. Jonas Gomes, Luiz Velho,
    Image Processing for Computer Graphics,
    Springer, 1997,
    ISBN: 0387948546,
    LC: T385.G65.

MathWorks documentation for the Image Processing Toolbox is available at https://www.mathworks.com/access/helpdesk/help/pdf_doc/images/images_tb.pdf.

Source Code:


Last modified on 04 February 2019.