Jonathan G Campbell Image Processing Notes and Software.

These are some old (last changed 1995) notes (plain text) on image processing.

• Chapter 1 Introduction.
• Chapter 2 Digital Image Fundamentals.
• Chapter 3 Transforms in Image Processing.
• Chapter 4 Image Enhancement.
• There is no chapter 5.
• Chapter 6 Aspects of Image Data Compression.
• Chapter 7 Aspects of Image Segmentation.
• Chapter 8 Pattern Recognition.
• Chapter 9 Neural Networks.
• Examination questions.
• ... and answers.
• Some notes on Maths. of DSP; mainly from chapter 3 above.

Here is a recently created summary of some pattern recognition stuff (linear discriminants, Fisher LDA, PCA, linear discriminant view of neural networks, etc. at pr.pdf (PDF).

In 1998, Fionn Murtagh converted them to LaTeX and added some material. That version is in ipjcfm.pdf (2-MB). (No compressed version since it compresses to just 1.8-MB.)

I have software corresponding to much of the notes -- the course was accompanied by practicals based on that software. If you think that this software would be of any use to you, see 'Software, DataLab' below. The latest version is DataLab-JN (in Java). There is a C version (DataLab-32), which is more extensive but more crudely designed.

Software, DataLab

DataLab. DataLab, the original project (written in C):

• source files;
• documentation.

Only the source files and documantation are mentioned there. For more complete downloads (full tar files), see below.

DataLab-J (Java). A more recent project. DataLab-J.

For downloading of complete tar files, see downloads.

DataLab-JN (Java).

An even more recent project, DataLab-JN.

For downloading of complete tar files, see downloads.

Software Downloads.

What I think are complete versions of the projects are available to download.

Future.

As I noted elsewhere, I now find myself using R; and Octave. Maybe even MATLAB. Perhaps my future efforts would be better spent on integrating DataLab-JN with R?