IMAGE_COMPONENTS
Connected Components of an Image or Matrix


IMAGE_COMPONENTS is a MATLAB library 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 FORTRAN77 version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

IMAGE_CONTRAST, a MATLAB program which applies image processing techniques to increase the contrast in an image.

IMAGE_DENOISE, a MATLAB program which applies image processing techniques to remove noise from an image.

IMAGE_DIFFUSE, a MATLAB library which uses diffusion to smooth out an image.

IMAGE_EDGE, a MATLAB library which demonstrates a simple procedure for edge detection in images.

IMAGE_NOISE, MATLAB programs which add noise to an image.

IMAGE_QUANTIZATION, a MATLAB library 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 library 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.

REGION, a FORTRAN90 library which reads 3D MRI voxel data, and groups the voxels into connected regions;

Reference:

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

Source Code:

Examples and Tests:

You can go up one level to the MATLAB source codes.


Last revised on 28 February 2011.