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李海濱、紀曉鵬、鄭祥、楊英、吳喜元

（中建深圳裝飾有限公司，廣東 深圳518000）

摘 要：為提高玻璃幕墻結構熱損傷區域圖像識別精度，提出基于改進機器視覺的玻璃幕墻結構熱損傷區域圖像識別方法。根據玻璃幕墻結構損傷熱波傳播原理，構建溫度傳遞函數和玻璃幕墻結構熱損傷區域概率模型，利用改進機器視覺增強處理玻璃幕墻結構熱損傷圖像，結合銳化處理實現對玻璃幕墻結構熱損傷圖像的識別。結果表明：方法識別出玻璃幕墻結構損傷區域與正常區域表面溫度差別較大，其變化趨勢符合玻璃幕墻實際情況，能夠識別玻璃幕墻結構熱損傷區域圖像；在適當的熱激勵時間下，可以提高玻璃幕墻結構熱損傷區域識別精度。

關鍵詞：改進機器視覺；圖像識別；熱損傷；熱波傳播；玻璃幕墻

中圖分類號:TP751            

文獻標志碼:A      

文章編號：1005-8249（2024）02-0164-06

DOI：10.19860/j.cnki.issn1005-8249.2024.02.030

 

LI Haibin, JI Xiaopeng,ZHENG Xiang, YANG Ying, WU Xiyuan

( China Construction Shenzhen Decoration Co.,Ltd,GUANGDONG SHENZHEN,518000,China)

Abstract: To improve the accuracy of image recognition of thermal damage areas in glass curtain wall structures, a method based on improved machine vision for image recognition of thermal damage areas in glass curtain wall structures is proposed. Based on the principle of thermal wave propagation in glass curtain wall structure damage, a temperature transfer function and a probability model of thermal damage area in glass curtain wall structure are constructed. The improved machine vision is used to enhance the processing of thermal damage images in glass curtain wall structure, and combined with sharpening processing, the recognition of thermal damage images in glass curtain wall structure is achieved. The results show that the method proposed in the article identifies a significant difference in surface temperature between the damaged and normal areas of the glass curtain wall structure, and its changing trend is consistent with the actual situation of the glass curtain wall. It can identify images of thermal damage areas in the glass curtain wall structure; Under appropriate thermal excitation time, the accuracy of identifying thermal damage areas in glass curtain wall structures can be improved.

Keywords: improve machine vision; image recognition; thermal damage; thermal wave propagation; glass screen wall

 

作者簡介：李海濱（1981-），男，本科，工程師，主要研究方向：室內外裝飾裝修及結構力學施工技術。

收稿日期：2023-11-21