image_components, a MATLAB code which seeks to count and label the connected nonzero/nonblack components in an image or integer vector, matrix or 3D block.
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
image_components is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version.
image_boundary, a MATLAB code which reports the pixels which form the boundary between the black and white regions of a simple image.
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, 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.
image_rgb_to_gray, a MATLAB function which creates a grayscale version of an RGB image.
image_threshold, a MATLAB 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.
MathWorks documentation for the Image Processing Toolbox is available at https://www.mathworks.com/access/helpdesk/help/pdf_doc/images/images_tb.pdf.