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
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
package org.opencv.test.features2d;
import java.util.Arrays;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.features2d.FeatureDetector;
import org.opencv.core.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import org.opencv.imgproc.Imgproc;
public class STARFeatureDetectorTest extends OpenCVTestCase {
FeatureDetector detector;
int matSize;
KeyPoint[] truth;
private Mat getMaskImg() {
Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
Mat right = mask.submat(0, matSize, matSize / 2, matSize);
right.setTo(new Scalar(0));
return mask;
}
private Mat getTestImg() {
Scalar color = new Scalar(0);
int center = matSize / 2;
int radius = 6;
int offset = 40;
Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
Imgproc.circle(img, new Point(center - offset, center), radius, color, -1);
Imgproc.circle(img, new Point(center + offset, center), radius, color, -1);
Imgproc.circle(img, new Point(center, center - offset), radius, color, -1);
Imgproc.circle(img, new Point(center, center + offset), radius, color, -1);
Imgproc.circle(img, new Point(center, center), radius, color, -1);
return img;
}
protected void setUp() throws Exception {
super.setUp();
detector = FeatureDetector.create(FeatureDetector.STAR);
matSize = 200;
truth = new KeyPoint[] {
new KeyPoint( 95, 80, 22, -1, 31.5957f, 0, -1),
new KeyPoint(105, 80, 22, -1, 31.5957f, 0, -1),
new KeyPoint( 80, 95, 22, -1, 31.5957f, 0, -1),
new KeyPoint(120, 95, 22, -1, 31.5957f, 0, -1),
new KeyPoint(100, 100, 8, -1, 30.f, 0, -1),
new KeyPoint( 80, 105, 22, -1, 31.5957f, 0, -1),
new KeyPoint(120, 105, 22, -1, 31.5957f, 0, -1),
new KeyPoint( 95, 120, 22, -1, 31.5957f, 0, -1),
new KeyPoint(105, 120, 22, -1, 31.5957f, 0, -1)
};
}
public void testCreate() {
assertNotNull(detector);
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
Mat img = getTestImg();
MatOfKeyPoint keypoints = new MatOfKeyPoint();
detector.detect(img, keypoints);
assertListKeyPointEquals(Arrays.asList(truth), keypoints.toList(), EPS);
}
public void testDetectMatListOfKeyPointMat() {
Mat img = getTestImg();
Mat mask = getMaskImg();
MatOfKeyPoint keypoints = new MatOfKeyPoint();
detector.detect(img, keypoints, mask);
assertListKeyPointEquals(Arrays.asList(truth[0], truth[2], truth[5], truth[7]), keypoints.toList(), EPS);
}
public void testEmpty() {
assertFalse(detector.empty());
}
public void testRead() {
Mat img = getTestImg();
MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
detector.detect(img, keypoints1);
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML:1.0\nmaxSize: 45\nresponseThreshold: 150\nlineThresholdProjected: 10\nlineThresholdBinarized: 8\nsuppressNonmaxSize: 5\n");
detector.read(filename);
MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
detector.detect(img, keypoints2);
assertTrue(keypoints2.total() <= keypoints1.total());
}
public void testWrite() {
String filename = OpenCVTestRunner.getTempFileName("xml");
detector.write(filename);
String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.STAR</name>\n<lineThresholdBinarized>8</lineThresholdBinarized>\n<lineThresholdProjected>10</lineThresholdProjected>\n<maxSize>45</maxSize>\n<responseThreshold>30</responseThreshold>\n<suppressNonmaxSize>5</suppressNonmaxSize>\n</opencv_storage>\n";
assertEquals(truth, readFile(filename));
}
public void testWriteYml() {
String filename = OpenCVTestRunner.getTempFileName("yml");
detector.write(filename);
String truth = "%YAML:1.0\nname: \"Feature2D.STAR\"\nlineThresholdBinarized: 8\nlineThresholdProjected: 10\nmaxSize: 45\nresponseThreshold: 30\nsuppressNonmaxSize: 5\n";
assertEquals(truth, readFile(filename));
}
}