21 July 2017 Neural classification of the selected family of butterflies
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104202S (2017) https://doi.org/10.1117/12.2281705
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
There have been noticed growing explorers' interest in drawing conclusions based on information of data coded in a graphic form. The neuronal identification of pictorial data, with special emphasis on both quantitative and qualitative analysis, is more frequently utilized to gain and deepen the empirical data knowledge. Extraction and then classification of selected picture features, such as color or surface structure, enables one to create computer tools in order to identify these objects presented as, for example, digital pictures. The work presents original computer system “Processing the image v.1.0” designed to digitalize pictures on the basis of color criterion. The system has been applied to generate a reference learning file for generating the Artificial Neural Network (ANN) to identify selected kinds of butterflies from the Papilionidae family.
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M. Zaborowicz, P. Boniecki, H. Piekarska-Boniecka, K. Koszela, W. Mueller, K. Górna, P. Okoń, "Neural classification of the selected family of butterflies", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104202S (21 July 2017); doi: 10.1117/12.2281705; https://doi.org/10.1117/12.2281705
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