Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling
In this study, an improved target-detection model based on information theory is proposed to address the difficulties of crack-detection tasks, such as slender target shapes, blurred boundaries, and complex backgrounds. By introducing a multi-scale information gain mechanism and a global–local featu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/27/2/165 |
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| author | Yun Bai Zhiyao Li Runqi Liu Jiayi Feng Biao Li |
| author_facet | Yun Bai Zhiyao Li Runqi Liu Jiayi Feng Biao Li |
| author_sort | Yun Bai |
| collection | DOAJ |
| description | In this study, an improved target-detection model based on information theory is proposed to address the difficulties of crack-detection tasks, such as slender target shapes, blurred boundaries, and complex backgrounds. By introducing a multi-scale information gain mechanism and a global–local feature coupling strategy, the model has significantly improved feature extraction and expression capabilities. Experimental results show that, on a single-crack dataset, the model’s mAP@50 and mAP@50-95 are 1.6% and 0.8% higher than the baseline model RT-DETR, respectively; on a multi-crack dataset, these two indicators are improved by 1.2% and 1.0%, respectively. The proposed method shows good robustness and detection accuracy in complex scenarios, providing new ideas and technical support for in-depth research in the field of crack detection. |
| format | Article |
| id | doaj-art-ac58babc3aaa4e889d20382102dfd4f7 |
| institution | DOAJ |
| issn | 1099-4300 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj-art-ac58babc3aaa4e889d20382102dfd4f72025-08-20T03:12:11ZengMDPI AGEntropy1099-43002025-02-0127216510.3390/e27020165Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose CouplingYun Bai0Zhiyao Li1Runqi Liu2Jiayi Feng3Biao Li4School of Aviation, Inner Mongolia University of Technology, Hohhot 010021, ChinaSchool of Aviation, Inner Mongolia University of Technology, Hohhot 010021, ChinaSchool of Aviation, Inner Mongolia University of Technology, Hohhot 010021, ChinaSchool of Aviation, Inner Mongolia University of Technology, Hohhot 010021, ChinaSchool of Aviation, Inner Mongolia University of Technology, Hohhot 010021, ChinaIn this study, an improved target-detection model based on information theory is proposed to address the difficulties of crack-detection tasks, such as slender target shapes, blurred boundaries, and complex backgrounds. By introducing a multi-scale information gain mechanism and a global–local feature coupling strategy, the model has significantly improved feature extraction and expression capabilities. Experimental results show that, on a single-crack dataset, the model’s mAP@50 and mAP@50-95 are 1.6% and 0.8% higher than the baseline model RT-DETR, respectively; on a multi-crack dataset, these two indicators are improved by 1.2% and 1.0%, respectively. The proposed method shows good robustness and detection accuracy in complex scenarios, providing new ideas and technical support for in-depth research in the field of crack detection.https://www.mdpi.com/1099-4300/27/2/165crack detectionmulti-scale information gainmutual information optimizationconditional entropy minimization |
| spellingShingle | Yun Bai Zhiyao Li Runqi Liu Jiayi Feng Biao Li Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling Entropy crack detection multi-scale information gain mutual information optimization conditional entropy minimization |
| title | Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling |
| title_full | Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling |
| title_fullStr | Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling |
| title_full_unstemmed | Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling |
| title_short | Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling |
| title_sort | crack detection algorithm integrating multi scale information gain with global local tight loose coupling |
| topic | crack detection multi-scale information gain mutual information optimization conditional entropy minimization |
| url | https://www.mdpi.com/1099-4300/27/2/165 |
| work_keys_str_mv | AT yunbai crackdetectionalgorithmintegratingmultiscaleinformationgainwithgloballocaltightloosecoupling AT zhiyaoli crackdetectionalgorithmintegratingmultiscaleinformationgainwithgloballocaltightloosecoupling AT runqiliu crackdetectionalgorithmintegratingmultiscaleinformationgainwithgloballocaltightloosecoupling AT jiayifeng crackdetectionalgorithmintegratingmultiscaleinformationgainwithgloballocaltightloosecoupling AT biaoli crackdetectionalgorithmintegratingmultiscaleinformationgainwithgloballocaltightloosecoupling |