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1 : //# Copyright (C) 1998,1999,2000,2001,2003
2 : //# Associated Universities, Inc. Washington DC, USA.
3 : //#
4 : //# This program is free software; you can redistribute it and/or modify it
5 : //# under the terms of the GNU General Public License as published by the Free
6 : //# Software Foundation; either version 2 of the License, or (at your option)
7 : //# any later version.
8 : //#
9 : //# This program is distributed in the hope that it will be useful, but WITHOUT
10 : //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
11 : //# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
12 : //# more details.
13 : //#
14 : //# You should have received a copy of the GNU General Public License along
15 : //# with this program; if not, write to the Free Software Foundation, Inc.,
16 : //# 675 Massachusetts Ave, Cambridge, MA 02139, USA.
17 : //#
18 : //# Correspondence concerning AIPS++ should be addressed as follows:
19 : //# Internet email: casa-feedback@nrao.edu.
20 : //# Postal address: AIPS++ Project Office
21 : //# National Radio Astronomy Observatory
22 : //# 520 Edgemont Road
23 : //# Charlottesville, VA 22903-2475 USA
24 : //#
25 : //# $Id: $
26 :
27 : #ifndef IMAGEANALYSIS_IMAGESTATSBASE_TCC
28 : #define IMAGEANALYSIS_IMAGESTATSBASE_TCC
29 :
30 : #include <imageanalysis/ImageAnalysis/ImageStatsBase.h>
31 :
32 : namespace casa {
33 :
34 0 : template <class T> ImageStatsBase<T>::ImageStatsBase(
35 : const SPCIIT image, const Record *const ®ionPtr, const String& maskInp,
36 : const casacore::String& outname, casacore::Bool overwrite
37 : ) : ImageTask<T>(
38 : image, regionPtr, maskInp, outname, overwrite
39 0 : ), _statistics(), _algConf() {
40 0 : _algConf.algorithm = StatisticsData::CLASSICAL;
41 0 : }
42 :
43 0 : template <class T> ImageStatsBase<T>::~ImageStatsBase() {}
44 :
45 : template <class T> void ImageStatsBase<T>::configureBiweight(Int maxIter) {
46 : if (
47 : _algConf.algorithm != StatisticsData::BIWEIGHT
48 : || maxIter != _algConf.mi
49 : ) {
50 : _algConf.algorithm = StatisticsData::BIWEIGHT;
51 : _algConf.mi = maxIter;
52 : _statistics.reset();
53 : }
54 : }
55 :
56 0 : template <class T> void ImageStatsBase<T>::configureChauvenet(
57 : casacore::Double zscore, casacore::Int maxIterations
58 : ) {
59 0 : if (
60 0 : _algConf.algorithm != StatisticsData::CHAUVENETCRITERION
61 0 : || ! casacore::near(_algConf.zs, zscore)
62 0 : || maxIterations != _algConf.mi
63 : ) {
64 0 : _algConf.algorithm = StatisticsData::CHAUVENETCRITERION;
65 0 : _algConf.zs = zscore;
66 0 : _algConf.mi = maxIterations;
67 0 : _statistics.reset();
68 : }
69 0 : }
70 :
71 : template <class T> void ImageStatsBase<T>::configureClassical(
72 : ImageStatsData::PreferredClassicalAlgorithm p
73 : ) {
74 : if (
75 : _algConf.algorithm != casacore::StatisticsData::CLASSICAL
76 : || p != _prefClassStatsAlg
77 : ) {
78 : _algConf.algorithm = casacore::StatisticsData::CLASSICAL;
79 : _prefClassStatsAlg = p;
80 : _statistics.reset();
81 : }
82 : }
83 :
84 : template <class T> void ImageStatsBase<T>::configureFitToHalf(
85 : FitToHalfStatisticsData::CENTER centerType,
86 : FitToHalfStatisticsData::USE_DATA useData,
87 : casacore::Double centerValue
88 : ) {
89 : if (
90 : _algConf.algorithm != StatisticsData::FITTOHALF
91 : || _algConf.ct != centerType
92 : || _algConf.ud != useData
93 : || (
94 : centerType == FitToHalfStatisticsData::CVALUE
95 : && ! casacore::near(_algConf.cv, centerValue)
96 : )
97 : ) {
98 : _algConf.algorithm = StatisticsData::FITTOHALF;
99 : _algConf.ct = centerType;
100 : _algConf.ud = useData;
101 : _algConf.cv = centerValue;
102 : _statistics.reset();
103 : }
104 : }
105 :
106 : template <class T>
107 : void ImageStatsBase<T>::configureHingesFences(casacore::Double f) {
108 : if (
109 : _algConf.algorithm != StatisticsData::HINGESFENCES
110 : || ! casacore::near(_algConf.hf, f)
111 : ) {
112 : _algConf.algorithm = StatisticsData::HINGESFENCES;
113 : _algConf.hf = f;
114 : _statistics.reset();
115 : }
116 : }
117 :
118 0 : template <class T> String ImageStatsBase<T>::_configureAlgorithm() {
119 0 : String myAlg;
120 0 : switch (_algConf.algorithm) {
121 0 : case StatisticsData::BIWEIGHT:
122 0 : _statistics->configureBiweight(_algConf.mi, 6.0);
123 0 : myAlg = "Biweight";
124 0 : break;
125 0 : case StatisticsData::CHAUVENETCRITERION:
126 0 : _statistics->configureChauvenet(_algConf.zs, _algConf.mi);
127 0 : myAlg = "Chauvenet Criterion/Z-score";
128 0 : break;
129 0 : case StatisticsData::CLASSICAL:
130 0 : switch (_prefClassStatsAlg) {
131 0 : case ImageStatsData::AUTO:
132 0 : _statistics->configureClassical();
133 0 : break;
134 0 : case ImageStatsData::TILED_APPLY:
135 0 : _statistics->configureClassical(0, 0, 1, 1);
136 0 : break;
137 0 : case ImageStatsData::STATS_FRAMEWORK:
138 0 : _statistics->configureClassical(1, 1, 0, 0);
139 0 : break;
140 0 : default:
141 0 : ThrowCc("Unhandled classical stats type");
142 : }
143 0 : myAlg = "Classic";
144 0 : break;
145 0 : case StatisticsData::FITTOHALF:
146 0 : _statistics->configureFitToHalf(_algConf.ct, _algConf.ud, _algConf.cv);
147 0 : myAlg = "Fit-to-Half";
148 0 : break;
149 0 : case StatisticsData::HINGESFENCES:
150 0 : _statistics->configureHingesFences(_algConf.hf);
151 0 : myAlg = "Hinges-Fences";
152 0 : break;
153 0 : default:
154 0 : ThrowCc(
155 : "Logic Error: Unhandled statistics algorithm "
156 : + String::toString(_algConf.algorithm)
157 : );
158 : }
159 0 : return myAlg;
160 0 : }
161 :
162 : }
163 :
164 : #endif
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