Abstract
The image capture method used for starfish recognition technology currently studied has limitations in capturing color images by using the area of visible ray in the poor underwater environment. This paper uses the infrared ray image which has a strong penetrating power underwater and is less sensitive to the noise of floating matter to settle the issue. The captured infrared ray underwater images are classified by the proposed adaptive filter. The adaptive filter is divided into the all pass filter, low pass filter and high pass filter by the decision function from the histogram distribution curve. Each of the classified image groups came to obtain a satisfactory result with the recognition of 87.5% as a result of recognition of starfish by using the number of concave and convex feature points.
This research was financially supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea(NRF) through the Human Resource Training Project for Regional Innovation.
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Kim, JI., Nam, SB., Kim, SR., Jeon, DH. (2012). Starfish Recognition Using Adaptive Filter. In: Kim, Th., Lee, Yh., Fang, Wc. (eds) Future Generation Information Technology. FGIT 2012. Lecture Notes in Computer Science, vol 7709. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35585-1_17
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DOI: https://doi.org/10.1007/978-3-642-35585-1_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35584-4
Online ISBN: 978-3-642-35585-1
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