The theme proposed special session is the use of evolutionary computation for solving computer vision and image processing problems. This special session aims to bring together theories and applications of evolutionary computation to computer vision and image processing problems. Authors are invited to submit their original and unpublished work to this Special Session. Topics of interest include but are not limited to
New theories and methods in different EC paradigms to computer vision and image processing including
- Evolutionary algorithms such as Genetic algorithms, genetic programming, evolutionary strategy and evolutionary programming;
- Swarm Intelligence such as particle swarm optimisation, ant colony optimisation, and differential evolution; and
- Other approaches such as learning classifier systems, harmony search, and artificial immune systems. Cross-fertilization of evolutionary computation and other techniques such as neural networks and fuzzy systems is also encouraged.
- Edge detection in noisy images
- Image segmentation in biological images
- Automatic feature extraction, construction and selection in complex images
- Object identification and scene analysis for medical applications
- Object detection and classification in security scenarios
- Handwritten digit recognition and detection
- Vehicle plate detection
- Face detection and recognition
- Texture image analysis
- Automatic target recognition in military services
- Gesture identification and recognition
- Robot vision
- Paper submission: 19 Dec 2014
- Acceptance notification: 20 Feb 2015
- Final paper submission: 13 Mar 2015
Special Session Organizers:Mengjie Zhang, School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, New Zealand.
Mengjie Zhang is Professor of computer science at Victoria University of Wellington, New Zealand, where he is heading the interdisciplinary Evolutionary Computation Research Group. He has been working in the area of evolutionary computer vision and signal processing for over 10 years. He has over 300 publications in international conferences and journals including over 100 in evolutionary computer vision and has been supervising over 50 research students in this area. He is the Chair of IEEE CIS Evolutionary Computation Technical Committee, a member of IEEE CIS Intelligent Systems and Application Technical Committee, an Associate Editor or Editorial Board for five international journals including IEEE Transactions on Evolutionary Computation, the Evolutionary Computation Journal (MIT Press) and Genetic Programming and Evolvable Machines (Springer). He is also a Vice-Chair of the Task Force on Evolutionary computer vision and image processing (IEEE CIS EC Technical Committee) and the founding Chair of the IEEE Chapter on Computational Intelligence in New Zealand (Central Section).
Vic Ciesielski, School of Computer Science and Information Technology, RMIT University, City Campus, GPO 2476V, VIC, Australia.
Vic Ciesielski is an Associate Professor of computer science at RMIT University. He has been working in the area of evolutionary computer vision for over 10 years. He has over 100 publications in international conferences and journals including more than 40 on various aspects of evolutionary computer vision. He has supervised six PhD students in this area. He is also a member of the Task Force on Evolutionary Computer Vision and Image Processing (IEEE CIS EC Technical Committee).
Mario Koeppen, Graduate School of Creative Informatics, Kyushu Institute of Technology, 680-4, Kawazu, Iizuka, Fukuoka 820-8502 JAPAN.
Mario Köppen is a professor at Kyuhsu Institute of Technology, Japan. He has also been working in the field of applied image processing within the scope of industrial projects for more than ten years. His research is focused on the use of soft computing technologies, esp. evolutionary computation, neural networks and fuzzy fusion, for the design of image processing applications. He has over 150 publications in international conferences, journals and book chapters, including a large number of publications that are strongly related to the topic of this proposal. He is also a Vice-Chair of the Task Force on Evolutionary computer vision and image processing (IEEE CIS EC Technical Committee).