


==============================================================
MEASURE_WAVELET: evaluate the "goodness" of the wavelet created.
GENERAL
score = measure_wavelet(input_wavelet, wavelet_evaluation_method, warped_image)
INPUT/S
-input_wavelet:
The wavelet parameters
-wavelet_evaluation_method:
The way to evaluate the data
-warped_image
The image currently being warped (for wavelet this argument is
currently unused.
OUTPUT/S
-score:
The score assigned to wavelet compressed data tree
PENDING WORK
-The current evaluation might be too simple
KNOWN BUG/S
-February: results returned aspire to make shapes shrivel
COMMENT/S
RELATED FUNCTION/S
ABOUT
-Created: February 13th, 2004
-Last update: February 2004
-Revision: 0.0.1
-Author: R. S. Schestowitz, University of Manchester
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0001 function score = measure_wavelet(input_wavelet, wavelet_evaluation_method, warped_image) 0002 % ============================================================== 0003 % MEASURE_WAVELET: evaluate the "goodness" of the wavelet created. 0004 % 0005 % GENERAL 0006 % 0007 % score = measure_wavelet(input_wavelet, wavelet_evaluation_method, warped_image) 0008 % 0009 % INPUT/S 0010 % 0011 % -input_wavelet: 0012 % The wavelet parameters 0013 % 0014 % -wavelet_evaluation_method: 0015 % The way to evaluate the data 0016 % 0017 % -warped_image 0018 % The image currently being warped (for wavelet this argument is 0019 % currently unused. 0020 % 0021 % OUTPUT/S 0022 % 0023 % -score: 0024 % The score assigned to wavelet compressed data tree 0025 % 0026 % PENDING WORK 0027 % 0028 % -The current evaluation might be too simple 0029 % 0030 % KNOWN BUG/S 0031 % 0032 % -February: results returned aspire to make shapes shrivel 0033 % 0034 % COMMENT/S 0035 % 0036 % 0037 % RELATED FUNCTION/S 0038 % 0039 % 0040 % 0041 % ABOUT 0042 % 0043 % -Created: February 13th, 2004 0044 % -Last update: February 2004 0045 % -Revision: 0.0.1 0046 % -Author: R. S. Schestowitz, University of Manchester 0047 % ============================================================== 0048 0049 if (strcmp(wavelet_evaluation_method, 'Default')), 0050 score = sum(abs(input_wavelet)); 0051 else 0052 error('The Wavelet evaluation method is unknown') 0053 end