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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Starfish Recognition Using Adaptive Filter
verfasst von : Jong-Ik Kim, Si-Byung Nam, Sung-Rak Kim, Do-Hong Jeon
Erschienen in: Future Generation Information Technology
Verlag: Springer Berlin Heidelberg
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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.