Automatic Detection and Identification of Defects by Deep Learning Algorithms from Pulsed Thermography Data.

Infrared thermography (IRT), is one of the most interesting techniques to identify different kinds of defects, such as delamination and damage existing for quality management of material. Objective detection and segmentation algorithms in deep learning have been widely applied in image processing, although very rarely in the IRT field. In this paper, spatial deep-learning image processing methods for defect detection and identification were discussed and investigated.

Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms.

The monitoring of heritage objects is necessary due to their continuous deterioration over time. Therefore, the joint use of the most up-to-date inspection techniques with the most innovative data processing algorithms plays an important role to apply the required prevention and conservation tasks in each case study. InfraRed Thermography (IRT) is one of the most used Non-Destructive Testing (NDT) techniques in the cultural heritage field due to its advantages in the analysis of delicate objects (i.

IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings.

The integrity, comfort, and energy demand of a building can be negatively affected by the presence of moisture in its walls. Therefore, it is essential to identify and characterise this building pathology with the most appropriate technologies to perform the required prevention and maintenance tasks. This paper proposes the joint application of InfraRed Thermography (IRT) and Ground-Penetrating Radar (GPR) for the detection and classification of moisture in interior walls of a building according to its severity level.

Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage.

The continuous deterioration of elements, with high patrimonial value over time, can only be mitigated or annulled through the application of techniques that facilitate the preventative detection of the possible agents of deterioration. InfraRed Thermography (IRT) is one of the most used techniques for this task. However, there are few IRT methodologies, which can automatically monitor the cultural heritage field, and are vitally important in eliminating the subjectivity in interpreting and accelerating the analysis process.

Combined Endodontic Therapy and Intentional Replantation for the Treatment of Palatogingival Groove.

A palatogingival groove is an anatomic malformation that predisposes the involved tooth to a severe periodontal defect. When the condition is complicated by pulpal necrosis, affected teeth often present a dilemma in terms of diagnosis and treatment planning. In this report, we describe the case of a patient with a maxillary lateral incisor with a deep palatogingival groove extending to the root apex and severe periodontal destruction (local pocketing).