Texture analysis for calculation of coral cover

Kitamasu, Ryo*; Takahashi, Satoru*; Kawabata, Kuniaki; Ogasawara, Kei*

no journal, , 

Research of monitoring of corals plays an important role in observing the natural environment on a global scale. Identifying and detecting corals amongst other objects, including marine organisms, from an image taken undersea is a difficult task. Moreover, there are many types of corals and they cannot be easily categorized automatically. Currently, texture analysis is being pursued that solves the problem of detecting and recognizing corals from pictures taken undersea; Haralick 14 conditional equations are used to calculate the texture characteristics information based on the gray levelco-occurrence matrix of 256 gradations and also to perform liner discrimination analysis on the characteristics information. In this paper, we propose one algorithm of texture analysis for discrimination of undersea objects, in order to detect the corals.