Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{ShiNagFFGIN07,

• author = "Shinichi Shirakawa and Tomoharu Nagao",
• title = "Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm",
• booktitle = "Advances in Visual Computing: Proceedings of the 3rd International Symposium on Visual Computing (ISVC 2007) Part II",
• year = "2007",
• volume = "4842",
• series = "Lecture Notes in Computer Science",
• pages = "287--297",
• address = "Lake Tahoe, Nevada, USA",
• month = nov # " 26-28",
• publisher = "Springer",
• editor = "George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Nikos Paragios and Syeda-Mahmood Tanveer and Tao Ju and Zicheng Liu and Sabine Coquillart and Carolina Cruz-Neira and Torsten Muller and Tom Malzbender",
• publisher_address = "Berlin / Heidelberg",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-76855-5",
• DOI = "doi:10.1007/978-3-540-76856-2_28",
• size = "11 pages",
• abstract = "A new method for automatic construction of image transformation, Feed Forward Genetic Image Network (FFGIN), is proposed in this paper. FFGIN evolves feed forward network structured image transformation automatically. Therefore, it is possible to straightforward execution of network structured image transformation. The genotype in FFGIN is a fixed length representation and consists of string which encode the image processing filter ID and connections of each node in the network. In order to verify the effectiveness of FFGIN, we apply FFGIN to the problem of automatic construction of image transformation which is pasta segmentation and compare with several method. From the experimental results, it is verified that FFGIN automatically constructs image transformation. Additionally, obtained structure by FFGIN is unique, and reuses the transformed images.",
• notes = "Also known as \cite{bb53106} From Annotated Computer Vision Bibliography",

}

Genetic Programming entries for Shinichi Shirakawa Tomoharu Nagao

Citations