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Encoding Image Based on Retinal Ganglion Cell

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Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3044))

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Abstract

Today’s Computer vision technology has not been showing satisfying results and is far from a real application because currently developed computer vision theory has many assumptions, and it is difficult to apply most of them to real world. Therefore, we will come over the limit of current computer vision technology by developing image recognition model based on retinal ganglion cell. We have constructed the image recognition model based on retinal ganglion cell and had experiment upon recognition and compression processing of information such as retinal ganglion cell by handwritten character database of MNIST.

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© 2004 Springer-Verlag Berlin Heidelberg

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Je, SK., Cha, EY., Cho, JH. (2004). Encoding Image Based on Retinal Ganglion Cell. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24709-8_52

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  • DOI: https://doi.org/10.1007/978-3-540-24709-8_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22056-5

  • Online ISBN: 978-3-540-24709-8

  • eBook Packages: Springer Book Archive

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