دورية أكاديمية
Classification of the qilou (arcade building) using a robust image processing framework based on the Faster R-CNN with ResNet50
| العنوان: | Classification of the qilou (arcade building) using a robust image processing framework based on the Faster R-CNN with ResNet50 |
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| المؤلفون: | Ming Ho Li, Yi Yu, Hongni Wei, Ting On Chan |
| المصدر: | Journal of Asian Architecture and Building Engineering, Vol 23, Iss 2, Pp 595-612 (2024) |
| بيانات النشر: | Taylor & Francis Group, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Architecture LCC:Building construction |
| مصطلحات موضوعية: | qilou, object detection, faster r-cnn, clahe, classification, Architecture, NA1-9428, Building construction, TH1-9745 |
| الوصف: | Qilou (arcade building) is a particular type of Chinese historical architecture combined with western and eastern building elements, which plays a significant role in the history of modern Chinese architecture. However, the recognition and classification of the qilou mainly rely on manual inspection, suppressing the cultural dissemination and protection of qilou relics. In this paper, we present a new framework that adopts multiple image processing algorithms and a deep learning network to automate qilou classification. First, image dataset of the qilou is enhanced based on the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm. Then, an improved Faster R-CNN with ResNet50 (Faster R-CNN-R) is deployed for qilou image recognition. A total of 760 images captured in Guangzhou were used for training, validation, and accuracy check of the proposed framework and several contrastive networks under the same conditions. Compared to other networks, the proposed framework works better than Faster R-CNN with VGG16 (Faster R-CNN-V) and FCOS. The accuracy of the proposed framework embedded with the Faster R-CNN-R, Faster R-CNN-V, and FCOS are 80.12%, 65.17%, and 66.35%, respectively. Based on digital images captured under different lighting conditions, the proposed framework can be used to classify nine different types of qilous, with high robustness. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1347-2852 13467581 |
| Relation: | https://doaj.org/toc/1347-2852 |
| DOI: | 10.1080/13467581.2023.2238038 |
| URL الوصول: | https://doaj.org/article/ae0562e65a5d4712be580d2613d30d5f |
| رقم الأكسشن: | edsdoj.0562e65a5d4712be580d2613d30d5f |
| قاعدة البيانات: | Directory of Open Access Journals |
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Full Text Finder | تدمد: | 13472852 13467581 |
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| DOI: | 10.1080/13467581.2023.2238038 |