Image Processing Algorithm for Quantitative Characterization of Thermal Imaging Acquired During On-line Weld Monitoring

Euclidean Distance Based Color Image Segmentation Algorithm for Dimensional Characterization of Lack of Penetration from Weld Thermographs for on-Line Weld Monitoring in GTAW

Conventional Non Destructive Testing (NDT) techniques for assessing the weld quality are applied after welding is completed. It results in wastage of time, material and manpower. These inherent limitations of the conventional welding processes can be overcome with an automated adaptive welding system to correct the deviation in the welding current and torch speed to provide defect free welds. T...

FPGA-based of Thermogram Enhancement Algorithm for Non-destructive Thermal Characterization

A Comparative Study on the Performance of the Classical and Wavelet Based Edge Detection for Image Denoising on Defective Weld Thermographs

Defect in welded structures is a matter of serious concern. The current practice involves interpretation by inspectors and experts, of radiographs after the weld is completed which is time consuming. With greater emphasis on automation during manufacturing process, automated NDT has gained prominence. One of the Non Destructive Evaluation (NDE) techniques that is being increasingly applied for ...

A Hybrid Algorithm based on Deep Learning and Restricted Boltzmann Machine for Car Semantic Segmentation from Unmanned Aerial Vehicles (UAVs)-based Thermal Infrared Images

Nowadays, ground vehicle monitoring (GVM) is one of the areas of application in the intelligent traffic control system using image processing methods. In this context, the use of unmanned aerial vehicles based on thermal infrared (UAV-TIR) images is one of the optimal options for GVM due to the suitable spatial resolution, cost-effective and low volume of images. The methods that have been prop...

A Novel Fuzzy-C Means Image Segmentation Model for MRI Brain Tumor Diagnosis

Accurate segmentation of brain tumor plays a key role in the diagnosis of brain tumor. Preset and precise diagnosis of Magnetic Resonance Imaging (MRI) brain tumor is enormously significant for medical analysis. During the last years many methods have been proposed. In this research, a novel fuzzy approach has been proposed to classify a given MRI brain image as normal or cancer label and the i...