izahi@portia.Stanford.EDU (Raul Izahi Lopez Hernandez) (03/05/90)
I know it is possible to do low-pass or high-pass filtering by using the center value and neighboring pixels of an image. But, how are: 1. Number of pixels. 2. Shape of neighborhood. 3. Weighting of neighbors. 4. Operations between pixels. related to filtering parameters such as slope (dB/Octave or dB/Decade) and center frequency? I'm looking for mathematical tools that support empirical work in image processing for my Thesis. Any help would be appreciated. RAUL IZAHI LOPEZ izahi@portia.stanford.edu
mike@cs.keele.ac.uk (Michael A. Green) (03/06/90)
From article <9769@portia.Stanford.EDU>, by izahi@portia.Stanford.EDU (Raul Izahi Lopez Hernandez): > I know it is possible to do low-pass or high-pass filtering by using the > center value and neighboring pixels of an image. But, how are: > 1. Number of pixels. > 2. Shape of neighborhood. > 3. Weighting of neighbors. > 4. Operations between pixels. > related to filtering parameters such as slope (dB/Octave or dB/Decade) > and center frequency? For a good treatment try: "Two-dimensional Signal and Image Processing" Jae S. Lim (c) Prentice Hall International 1990 ISBN: 0-13-934563-9 > I'm looking for mathematical tools that support empirical work in > image processing for my Thesis. Try the Frequently Asked Questions posting, it will tell you where to find ALV, PBM, etc. These could be what you are looking for (I certainly use them for IP). > Any help would be appreciated. > RAUL IZAHI LOPEZ > izahi@portia.stanford.edu Glad to be of help, --Mike -- |Michael A. Green. |JANET: mike@uk.ac.keele.cs | |Department of Computer Science |BITNET: mike%cs.kl.ac.uk@ukacrl | |University of Keele, Keele, |ARPANET:mike%cs.kl.ac.uk@nsfnet-relay.ac.uk| |Staffordshire. ST5 5BG. U.K. |VOICE: +44 782 621111 ex. 3357/3347 |