This extended ICIPCN 2020 conference will be a dedicated platform for researchers, academicians and scholars to share and exchange their valuable research insights, which may clearly define the image and the family of image processing techniques and applications. Henceforth, this premier International conference motivates the researchers to discover more information from images and perform innovative image analysis procedures by efficiently utilizing the evolving capsule network models.
Call for Papers
ICIPCN 2020 welcomes he prospective authors to submit their research works that covers the different aspects of image processing and analysis techniques. The research papers that propose the recent Artificial Intelligence and Capsule Network innovations in image processing models is strongly encouraged. All the research papers should state their research novelty and state-of-the-art contributions towards image processing architectures and applications.
Image Processing
- Image recognition and Analysis
- Image Registration
- Image segmentation and edge detection
- Image texture analysis
- Medical imaging systems
- Image acquisition, reconstruction and synthesis
- Feature Extraction techniques
- Medical image diagnosis
- Image reconstructions and losses
- Medical interpretability and explainable deep learning frameworks
- Image processing for multispectral images
- Image enhancement and restoration
- Image formation principles
- Pattern recognition and capsule networks in object tracking
- Face and gesture recognition techniques
- Capsule based biometric technologies
- Cognitive vision of image processing
Capsule Networks
- Capsules in image analysis
- Deep learning in image analysis
- Pattern recognition
- Machine Learning
- Data mining
- Big data analytics and imaging
- Visual content analysis
- Capsule based Fuzzy systems
- Human-visual systems
- Robotic vision of image processing
- Capsules in adaptive image processing
- Machine learning in capsule neural networks
- Capsule implementation in image systems
- Capsules and digital image processing techniques
- Machine vision-based capsule networks
- Industrialized capsule networks
- Artificial intelligence in capsule networks