A Gradient Guided Architecture Coupled With Filter Fused Representations for Micro-Crack Detection in Photovoltaic Cell Surfaces

Keyphrases

• Cell Surface 100%
• Photovoltaic Cells 100%
• Micro-crack Detection 100%
• Gradient Guided 100%
• Electroluminescence Images 66%
• Guided Filter 66%
• Filter Tuning 66%
• Performance Criteria 33%
• High Performance 33%
• Microcracks 33%
• Manufacturing Site 33%
• Electroluminescence 33%
• Electroluminescence Imaging 33%
• Manufacturing Environment 33%
• Image-based 33%
• Imaging Principle 33%
• Convolutional Neural Network 33%
• Data Scaling 33%
• Output Image 33%
• Cell Image 33%
• Architecture-centric 33%
• Number of Filters 33%
• Output Filter 33%
• Fused Data 33%
• Data Scarcity 33%
• High Efficacy 33%
• Shallow Architectures 33%
• Convolutional Block 33%

Engineering

• Solar Cell 100%
• Microcrack 100%
• Micro Crack 100%
• Crack Detection 100%
• Metrics 33%
• Similarity 33%
• Performance Criterion 33%
• Photovoltaics 33%
• Design and Environment 33%
• Convolutional Neural Network 33%
• Output Image 33%
• Filter Output 33%

Computer Science

• Benchmarking 100%
• Convolutional Neural Network 100%
• Performance Criterion 100%
• Proposed Mechanism 100%