==============================================================
AVERAGE_SMOOTH: Given sequence of 1D data and the value sigma,
Gaussian smooth will be applied.
Code written by Katherine Smith, 2003
GENERAL
new_images = gaussian_smooth(images, sigma)
INPUT/S
-images:
Input images.
-sigma:
The sigma value (variance) of the Gaussian.
OUTPUT/S
-new_images:
The images with Gaussian smooth applied.
PENDING WORK
-
KNOWN BUG/S
-
COMMENT/S
-This is an intermediate routine that uses Gaussian filter
RELATED FUNCTION/S
AVERAGE_SMOOTH
ABOUT
-Created: November 23rd, 2003
-Last update: Novermber 25th, 2003
-Revision: 0.0.2
-Author: R. S. Schestowitz, University of Manchester
==============================================================0001 function new_images = gaussian_smooth(images, sigma) 0002 % ============================================================== 0003 % AVERAGE_SMOOTH: Given sequence of 1D data and the value sigma, 0004 % Gaussian smooth will be applied. 0005 % 0006 % Code written by Katherine Smith, 2003 0007 % 0008 % GENERAL 0009 % 0010 % new_images = gaussian_smooth(images, sigma) 0011 % 0012 % INPUT/S 0013 % 0014 % -images: 0015 % Input images. 0016 % 0017 % -sigma: 0018 % The sigma value (variance) of the Gaussian. 0019 % 0020 % OUTPUT/S 0021 % 0022 % -new_images: 0023 % The images with Gaussian smooth applied. 0024 % 0025 % PENDING WORK 0026 % 0027 % - 0028 % 0029 % KNOWN BUG/S 0030 % 0031 % - 0032 % 0033 % COMMENT/S 0034 % 0035 % -This is an intermediate routine that uses Gaussian filter 0036 % 0037 % RELATED FUNCTION/S 0038 % 0039 % AVERAGE_SMOOTH 0040 % 0041 % ABOUT 0042 % 0043 % -Created: November 23rd, 2003 0044 % -Last update: Novermber 25th, 2003 0045 % -Revision: 0.0.2 0046 % -Author: R. S. Schestowitz, University of Manchester 0047 % ============================================================== 0048 0049 filter = fspecial('gaussian',[9 1], sigma); %pass on to built-in function 0050 new_images = imfilter(images,filter); %apply the filter set above