This special issue will present the latest developments in bio-inspired computation in image processing, with a focus on nature-inspired algorithms linked to deep learning, such as ant colony optimisation, particle swarm optimisation, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this issue will also explore future research trends in bio-inspired computation, thus helping researchers to pursue new research avenues.
Digital image processing is the name given to techniques and methods applied in inputting images to transform them into output images or extract information. Due to rapid developments in technology, huge amounts of data are available in the form of medical images, which need to be processed for multiple reasons such as automatic text extraction for diagnosing diseases.
This issue aims to explore commonly used techniques in the field of bio-inspired digital image processing, and the accuracy of methods for good practice recommendations in the image processing field.
Suitable topics include, but are not limited, to the following:
- Image analysis and understanding
- Scene analysis, modelling and understanding
- Pattern matching and pattern recognition
- Image synthesis, including 3D imaging and solid modelling
- Mathematical approaches to image processing, analysis and synthesis
- Image models and transforms
- Visualisation and graphical data presentation
- Diagrammatic knowledge representation and reasoning
- Monocular and stereo vision
- Modelling of human visual perception
- Biomimetic vision
- Innovative uses of various graphic and vision devices and systems
- Automated analysis of video sequences
- Mosaic and frames registration
- Perceptual interfaces for immersive activities
- Activity recognition
- Graph-based approaches merging local and global registrations
- Automatic extraction of 3D building models from multiple images and other data
- Computational models of the human visual system
- Early vision
- Data structures and representations needed for high-level vision
- Shape representation and extraction
- Range data analysis
- Use of motion for recognition and interpretation
- Architectures and languages for image processing
- Multimodal and multisensor models of image formation
- Motion analysis, visual navigation and active vision
- Geometrical and structural models of objects and scenes
- Fractal and chaos theory in image analysis
- Modelling of human visual perception and mental imagery
- Structure reconstruction, 3D imaging and image synthesis
- Infrared, laser, sonar, etc. imaging
- Virtual reality and pictorial interaction
- Pictorial databases and archiving
- Applications of computational geometry in vision and graphic systems
- IOT in healthcare
- Healthcare data analytics
- Sensors in healthcare
- Security issue in healthcare
Important Dates
Submission of manuscripts: 30 August, 2017Notification to authors: 30 September, 2017
Final versions due: 30 October, 2017
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