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
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
|
/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 <iostream>
#include "itkMinimumDecisionRule.h"
int
itkMinimumDecisionRuleTest(int, char *[])
{
std::cout << "==================================" << std::endl;
std::cout << "Testing MinimumDecionRule " << std::endl << std::endl;
using DecisionRuleType = itk::Statistics::MinimumDecisionRule;
auto decisionRule = DecisionRuleType::New();
DecisionRuleType::MembershipVectorType discriminantScores;
discriminantScores.resize(3);
discriminantScores[0] = 0.0;
discriminantScores[1] = 1.0;
discriminantScores[2] = 2.0;
if (decisionRule->Evaluate(discriminantScores) != 0)
{
std::cout << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
DecisionRuleType::MembershipVectorType discriminantScores2;
discriminantScores2.resize(3);
discriminantScores2[0] = 0.0;
discriminantScores2[1] = 1.0;
discriminantScores2[2] = 2.0;
if (decisionRule->Evaluate(discriminantScores2) != 0)
{
std::cout << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
DecisionRuleType::MembershipVectorType discriminantScores3;
discriminantScores3.resize(3);
discriminantScores3[0] = 0.0;
discriminantScores3[1] = 1.0;
discriminantScores3[2] = 2.0;
if (decisionRule->Evaluate(discriminantScores3) != 0)
{
std::cout << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
std::cout << "[SUCCEEDED]" << std::endl;
return EXIT_SUCCESS;
}
|
