An SVM-Based Scheme for Automatic Identification of Architectural Line Features and Cracks

Applied Sciences

AnnaMaria Ferrero¹  Vito Messina²  David Gandreau²  MahshidZeighami Moghaddam³  Gaia Bollini⁴  Gessica Umili⁴  Sabrina Bonetto⁵ 

[1] Via S. Ottavio, 20, 10124 Torino, Italy;Via Valperga Caluso, 35, 10125 Torino, Italy;Department of Chemistry, University of Turin, Via Pietro Giuria, 7, 10125 Torino, Italy;Department of Earth Sciences, University of Turin;Department of Historical Studies, University of Turin;

关键词: earthen heritage;    rammed earth;    crack detection;    connected component;    morphological approach;    machine learning;   

DOI  :  10.3390/app10155077

来源: DOAJ

【 摘 要 】

This research investigates fundamental problems in object recognition in earthen heritage and addresses the possibility of an automatic crack detection method for rammed earth images. We propose and validate a straightforward support vector machine (SVM)-based bidirectional morphological approach to automatically generate crack and texture line maps through transforming a surface image into an intermediate representation. Rather than relying on the application of the eight connectivity rule to a combination of horizontal and vertical gradient to extract edges, we instruct an edge classifier in the form of a support vector machine from features computed on each direction separately. The model couples a bidirectional local gradient and geometrical characteristics. It constitutes of four elements: (1) bidirectional edge maps; (2) bidirectional equivalent connected component maps; (3) SVM-based classifier and (4) crack and architectural line feature map generation. Relevant details are discussed in each part. Finally, the efficiency of the proposed algorithm is verified in a set of simulations that is satisfactorily conforming to labeled data provided manually for surface images of earthen heritage.

【 授权许可】

Unknown