File: itkMinimumDecisionRuleTest.cxx

package info (click to toggle)
insighttoolkit4 4.13.3withdata-dfsg2-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 491,256 kB
  • sloc: cpp: 557,600; ansic: 180,546; fortran: 34,788; python: 16,572; sh: 2,187; lisp: 2,070; tcl: 993; java: 362; perl: 200; makefile: 133; csh: 81; pascal: 69; xml: 19; ruby: 10
file content (58 lines) | stat: -rw-r--r-- 1,992 bytes parent folder | download | duplicates (6)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/

#include "itkMinimumDecisionRule.h"
#include "itkObjectFactory.h"

int itkMinimumDecisionRuleTest(int, char* [] )
{
  typedef itk::Statistics::MinimumDecisionRule      MinimumDecisionRuleType;

  typedef MinimumDecisionRuleType::MembershipVectorType MembershipVectorType;

  MinimumDecisionRuleType::Pointer decisionRule = MinimumDecisionRuleType::New();

  std::cout << decisionRule->GetNameOfClass() << std::endl;
  std::cout << decisionRule->MinimumDecisionRuleType::Superclass::GetNameOfClass() << std::endl;

  decisionRule->Print(std::cout);

  MembershipVectorType membershipScoreVector;

  double membershipScore1;
  membershipScore1 = 1.1;
  membershipScoreVector.push_back( membershipScore1 );

  double membershipScore2;
  membershipScore2 = 0.5;
  membershipScoreVector.push_back( membershipScore2 );

  double membershipScore3;
  membershipScore3 = 1.9;
  membershipScoreVector.push_back( membershipScore3 );

  // the minimum score is the third component. The decision rule should
  // return index ( 2)
  if( decisionRule->Evaluate( membershipScoreVector ) != 1 )
    {
    std::cerr << "Decision rule computation is incorrect!" << std::endl;
    return EXIT_FAILURE;
    }

  return EXIT_SUCCESS;
}