image_components


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.

Licensing:

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

Languages:

image_components is available in a C version and a C++ version and a FORTRAN90 version and 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_test

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.

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 02 February 2019.