asa_images_2011

asa_images_2011 a MATLAB code which was used during labs, demonstrations, and lectures associated with the "Image Algorithms" portion of the class "Algorithms for Science Applications II", as taught at the Scientific Computing Department, Florida State University, Spring Semester 2011.

The Latex documents associated with this topic are available at

• asa_images_2011_fsu,
  Algorithms for Science Applications:
  Lecture Notes on Image Algorithms,
  Department of Scientific Computing,
  Florida State University, Spring Semester 2011.
• asa_images_homework_2011_fsu,
  Algorithms for Science Applications:
  Homework Assignments on Image Algorithms,
  Department of Scientific Computing,
  Florida State University, Spring Semester 2011.
• asa_images_lab_2011_fsu,
  Algorithms for Science Applications:
  Lab on Image Algorithms,
  Department of Scientific Computing,
  Florida State University, Spring Semester 2011.

The PDF versions of the documents are available as

• asa_images_2011_fsu.pdf,
  Algorithms for Science Applications:
  Lecture Notes on Image Algorithms,
  Department of Scientific Computing,
  Florida State University, Spring Semester 2011.
• asa_images_homework1_2011_fsu.pdf,
  Algorithms for Science Applications:
  Homework #1 on Image Algorithms,
  Department of Scientific Computing,
  Florida State University, Spring Semester 2011.
• asa_images_homework2_2011_fsu.pdf,
  Homework #2 on Image Algorithms,
  Department of Scientific Computing,
  Florida State University, Spring Semester 2011.
• asa_images_lab_2011_fsu.pdf,
  Algorithms for Science Applications:
  Lab on Image Algorithms,
  Department of Scientific Computing,
  Florida State University, Spring Semester 2011.

Licensing:

The information on this web page is distributed under the MIT license.

Languages:

asa_images_2011 is available in a MATLAB version and an Octave version.

Related Data and Programs:

asa_geometry_2011 a MATLAB code which was used during labs, demonstrations and lectures for the "Geometry Algorithms" portion of the class "Algorithms for Science Applications II".

asa_graphs_2011 a MATLAB code which was used during labs, demonstrations and lectures for the "Graph Algorithms" portion of the class "Algorithms for Science Applications II".

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

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

image_noise, a MATLAB code which adds 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 code 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:

1. Jonas Gomes, Luiz Velho,
   Image Processing for Computer Graphics,
   Springer, 1997,
   ISBN: 0387948546,
   LC: T385.G65.
2. William Pratt,
   Digital Image Processing,
   Second Edition,
   Wiley, 1991,
   ISBN13: 978-0471857662,
   LC: TA1632.P7.

Source Code:

• balloons_noisy.png, an RGB image which has been damaged by "salt and pepper" noise.
• coins.pgm, a grayscale image of coins, which we would like to analyze so as to locate edges.
• dewey.m, a program which applies the Haar transform to the dewey_defeats_truman.jpg image.
• dewey_defeats_truman.jpg, a photograph of Harry Truman displaying a newspaper.
• feep.ascii.pgm, an ASCII PGM file that is a (tiny) image of the letters "FEEP".
• feep.png, a PNG version.
• gaussian_smoothing.m computes a Gaussian smoothing template.
• gaussian_smoothing_vector.m computes a Gaussian smoothing template, and uses vector operations.
• gaussian_template.m, returns a template for Gaussian smoothing.
• glassware_noisy.png, a grayscale image which has been damaged by "salt and pepper" noise.
• haar_step_2d.m carries out one step of the Haar 2D transform.
• haar_step_2d_inverse.m inverts one step of the Haar 2D transform.
• imshow_numeric.m displays a numeric 2D array as a grayscale image.
• lena_noisy.png a grayscale image which has been damaged by noise.
• mona_lisa.png a grayscale image of the Mona Lisa.
• news.m demonstrates the NEWS stencil for edge detection.
• nile.txt historic data for the maximum height of the Nile each year.
• skin_tone.m searches an RGB image for pixels corresponding to a particular skin tone.
• snap.pgm, a snapshot of a mother and child, which is rather dark.
• snap.png a PNG version.
• snap2.png a PNG version of the snapshot after rescaling the brightness.
• snap_cluster.m uses KMEANS to choose a small number of grayscales to represent the snap.png image.
• surf.png, a grayscale PNG image in which the contrast is poor.
• underwater_bmx.png an RGB PNG image in which the contrast is poor.
• visitor.jpg, an RGB image of a visitor.