components


components, an Octave code which organizes contiguous cells into labeled clusters, for a 1D, 2D, or 3D array. This code has uses in image analysis and percolation simulation.

Licensing:

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

Languages:

components is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.

Related Data and Programs:

components_test

bwlabel_test, an Octave code which calls bwlabel(), which is a built-in MATLAB function, which is given a binary matrix, and organizes the 1 values into labeled clusters, using 4-way or 8-way connectivity.

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

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

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

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

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

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

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

image_noise, MATLAB codes which add noise to an image.

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

image_rgb_to_gray, a MATLAB function which creates a grayscale version of an RGB image.

image_threshold, an Octave code which creates a black and white version of a grayscale image by specifying a single threshold value; pixels below this value become black, and above this value they are white.

Reference:

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 revised on 10 June 2023.