Scientia Silvae Sinicae ›› 2020, Vol. 56 ›› Issue (3): 73-81.doi: 10.11707/j.1001-7488.20200308
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Dakun Lin1,2,Shiguo Huang1,2,*,Feiping Zhang2,Guanghong Liang2,Songqing Wu2,xia Hu2,Rong Wang2
Received:
2018-09-11
Online:
2020-03-25
Published:
2020-04-08
Contact:
Shiguo Huang
CLC Number:
Dakun Lin,Shiguo Huang,Feiping Zhang,Guanghong Liang,Songqing Wu,xia Hu,Rong Wang. Method of Image Recognition for Lepidopteran Insects Based on Improved Differential Evolution Algorithm[J]. Scientia Silvae Sinicae, 2020, 56(3): 73-81.
Table 1
Recognition result of two datasets"
数据集 Datasets | 分类器 Classifiers | 不同运行次数的识别率 Recognition rates of different running times(%) | 均值 Average | 显著性水平 Significance level | ||||
1 | 2 | 3 | 4 | 5 | ||||
利兹Leeds | PROCRC | 82.08 | 81.13 | 81.61 | 82.21 | 81.61 | 81.73 | <0.001 |
KNN | 38.59 | 40.38 | 39.68 | 39.30 | 40.13 | 39.61 | ||
本课题组 Taken in this study | PROCRC | 88.25 | 88.30 | 88.02 | 88.70 | 87.62 | 88.18 | <0.001 |
KNN | 84.05 | 83.99 | 83.76 | 84.56 | 83.02 | 83.87 |
Table 2
Recognition rate of each insect species in two datasets"
数据集 Datasets | 种类 Species | 样本数量 Number of samples | PROCRC识别率 Recognition rate of PROCRC(%) | KNN识别率 Recognition rate of KNN(%) | 显著性水平 Significance level |
利兹Leeds | 黑脉金斑蝶Danaus plexippus | 82 | 95.07 | 37.65 | <0.001 |
黄条袖蝶Heliconius charitonius | 93 | 97.89 | 80.53 | 0.01 | |
红带袖蝶Heliconius erato | 61 | 64.23 | 0.00 | <0.001 | |
鹿眼蛱蝶Junonia coenia | 90 | 70.00 | 45.56 | 0.01 | |
红灰蝶Lycaena phlaeas | 88 | 79.48 | 47.52 | <0.001 | |
丧服蛱蝶Nymphalis antiopa | 100 | 82.00 | 47.00 | <0.001 | |
美洲大芷凤蝶Papilio cresphontes | 89 | 77.39 | 41.44 | <0.001 | |
白粉蝶Pieris rapae | 55 | 98.18 | 72.73 | <0.001 | |
优红蛱蝶Vanessa atalanta | 90 | 64.44 | 10.00 | <0.001 | |
小红蛱蝶Vanessa cardui | 84 | 91.69 | 13.09 | <0.001 | |
本课题组 Taken in this study | 檗黄粉蝶Eurema blanda | 7 | 50.00 | 20.00 | 0.35 |
茶蚕蛾Andraca bipunctata | 238 | 95.39 | 85.28 | <0.001 | |
东方粉蝶Pieris canidia | 12 | 23.33 | 0.00 | 0.08 | |
斐豹蛱蝶Argynnis hyperbius | 5 | 20.00 | 0.00 | 0.37 | |
黄星尺蛾Arichanna melanaria fraternal | 167 | 91.59 | 91.60 | 1.00 | |
灰白蚕蛾Ocinara varians | 200 | 99.50 | 100.00 | 0.37 | |
蕾鹿蛾Amata germana | 16 | 88.33 | 51.67 | 0.09 | |
柳杉毛虫Dendrolimus houi | 372 | 96.23 | 91.12 | 0.01 | |
绿尾大蚕蛾Actias selene ningpoana | 9 | 100.00 | 80.00 | 0.18 | |
马尾松毛虫Dendrolimus punctatus | 359 | 82.46 | 80.50 | 0.62 | |
榕透翅毒蛾Perina nuda | 349 | 83.97 | 80.51 | 0.39 | |
长喙天蛾Macroglossum corythus luteata | 27 | 14.67 | 3.33 | 0.05 |
Table 3
Recognition result of two datasets based on feature selection"
数据集 Datasets | 分类器 Classifier | 不同特征选择方法的识别率 Recognition rate of different feature selection approaches(%) | ||
基于频繁出现模式 Based on the most frequently occurring patterns | 二进制差分进化 Binary differential evolution | 二进制自适应差分进化 Binary adaptive differential evolution | ||
利兹Leeds | PROCRC | 65.92 | 85.02 | 87.54 |
KNN | 52.25 | 49.54 | 53.10 | |
本课题组 Taken in this study | PROCRC | 84.55 | 88.86 | 89.84 |
KNN | 84.11 | 86.16 | 86.96 |
Table 4
Recognition rate of each insect species in two datasets based on BADE"
数据集 Datasets | 种类 Species | 样本数量 Number of samples | 识别率 Recognition rate (%) | 显著性水平 Significance level | |
PROCRC | KNN | ||||
利兹Leeds | 黑脉金斑蝶Danaus plexippus | 82 | 97.5 | 67.06 | <0.001 |
黄条袖蝶Heliconius charitonius | 93 | 94.62 | 87.13 | 0.11 | |
红带袖蝶Heliconius erato | 61 | 72.18 | 9.74 | <0.001 | |
鹿眼蛱蝶Junonia coenia | 90 | 80 | 56.67 | <0.001 | |
红灰蝶Lycaena phlaeas | 88 | 84.18 | 64.9 | 0.02 | |
丧服蛱蝶Nymphalis antiopa | 100 | 85 | 51 | 0.02 | |
美洲大芷凤蝶Papilio cresphontes | 89 | 85.42 | 45.95 | 0.01 | |
白粉蝶Pieris rapae | 55 | 98.18 | 70.91 | 0.01 | |
优红蛱蝶Vanessa atalanta | 90 | 58.89 | 22.22 | <0.001 | |
小红蛱蝶Vanessa cardui | 84 | 87.87 | 22.57 | <0.001 | |
本课题组 Taken in this study | 檗黄粉蝶Eurema blanda | 7 | 50 | 40 | 0.40 |
茶蚕蛾Andraca bipunctata | 238 | 92.87 | 84.45 | 0.09 | |
东方粉蝶Pieris canidia | 12 | 10 | 0 | 0.18 | |
斐豹蛱蝶Argynnis hyperbius | 5 | 0 | 0 | — | |
黄星尺蛾Arichanna melanaria fraternal | 167 | 93.44 | 92.21 | 0.87 | |
灰白蚕蛾Ocinara varians | 200 | 99 | 99.5 | 1.00 | |
蕾鹿蛾Amata germana | 16 | 86.67 | 68.33 | 0.13 | |
柳杉毛虫Dendrolimus houi | 372 | 96.5 | 92.19 | <0.001 | |
绿尾大蚕蛾Actias selene ningpoana | 9 | 100 | 100 | 0.37 | |
马尾松毛虫Dendrolimus punctatus | 359 | 82.74 | 80.23 | 0.33 | |
榕透翅毒蛾Perina nuda | 349 | 83.94 | 82.24 | 0.94 | |
长喙天蛾Macroglossum corythus luteata | 27 | 3.33 | 14.67 | 0.92 |
Table 5
F1-score between BADE and other two feature selection methods"
数据集 Datasets | 分类器 Classifier | 不同特征选择的F1值F1-score of different feature selection methods(%) | ||
基于频繁出现模式 Based on the most frequently occurring patterns | 二进制差分进化 Binary differential evolution | 二进制自适应差分进化 Binary adaptive differential evolution | ||
利兹Leeds | PROCRC | 61.18 | 85.33 | 87.29 |
KNN | 50.86 | 48.69 | 53.92 | |
本课题组 Taken in this study | PROCRC | 83.61 | 88.66 | 89.03 |
KNN | 83.59 | 85.53 | 86.67 |
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