| Title | Implementation of Image Fusion to Investigate Wall Crack |
| Creator | |
| Date Issued | 2020-02-01 |
| Source Publication | International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2020
 |
| Abstract | Image Fusion (ImgF) technique is combining the features of an image set (Img), to create a resulting Img with advanced information analysis point of view. In this paper, some novel ImgF algorithms implemented and in different fields, for example, Crack Detection (CD). The initial segment of research work manages a novel CD method dependent on Non-Destructive Testing (NDT) in wall cracks containing range limits with wall Imgs complications. For example, the Hyperbolic Tangent (HBT) filtering algorithm used for different edge tracking processes. The feedback of detector fusion is achieved using Haar Discrete Wavelet Transform (HDWT) and max estimation with mean detail ImgF algorithm to acquire primary crack edges detection. Through higher edge localization and PSNR, the future framework provides improved Edge Detection (ED) in Imgs. |
| Keyword | Crack Detection Feature Extraction Image Fusion Median Filter Multi resolution Segmentation |
| DOI | 10.1109/ic-ETITE47903.2020.397 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-85085172842 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/9192 |
| Collection | Research outside affiliated institution |
| Affiliation | Wenzhou Kean University,Department of Computer Science,Zhejiang provience,China |
| Recommended Citation GB/T 7714 | Krishnamoorthy，Sujatha,Zhang，Changiiang,Yanxin，Zhou. Implementation of Image Fusion to Investigate Wall Crack[C], 2020. |
| Files in This Item: | There are no files associated with this item. | |||||
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