دورية أكاديمية
An Improved Wavelet Modulus Algorithm Based on Fusion of Light Intensity and Degree of Polarization
| العنوان: | An Improved Wavelet Modulus Algorithm Based on Fusion of Light Intensity and Degree of Polarization |
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| المؤلفون: | Yunting Gu, Jinguang Lv, Jian Bo, Baixuan Zhao, Kaifeng Zheng, Yingze Zhao, Jin Tao, Yuxin Qin, Weibiao Wang, Jingqiu Liang |
| المصدر: | Applied Sciences, Vol 12, Iss 7, p 3558 (2022) |
| بيانات النشر: | MDPI AG, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
| مصطلحات موضوعية: | degree of polarization, edge detection, fusion, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
| الوصف: | Edge detection is the basis of image analysis and image processing. The wavelet modulus maxima algorithm is a widely used edge-detection algorithm. The algorithm has the advantages of strong anti-noise ability and high precision of edge location, but it still cannot accurately obtain edge information for low-contrast images. Therefore, this paper proposes an improved wavelet mode maximum edge algorithm for the fusion of light intensity and degree of polarization. The improved wavelet mode maximum algorithm was used to extract the edges of a light intensity image and degree of polarization image, and then refine and fuse the two edges to obtain the final edge information. Simulation experiments showed that the edge image obtained by the edge-detection algorithm in this paper had a clearer outline and better connectivity. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2076-3417 |
| Relation: | https://www.mdpi.com/2076-3417/12/7/3558; https://doaj.org/toc/2076-3417 |
| DOI: | 10.3390/app12073558 |
| URL الوصول: | https://doaj.org/article/96babbff44e44ba0964152df9be53423 |
| رقم الأكسشن: | edsdoj.96babbff44e44ba0964152df9be53423 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20763417 |
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| DOI: | 10.3390/app12073558 |