OTOLITH IMAGE ANALYSIS BY COMPUTER VISION Extracting Growth Rings and Recovering Shape Evolution of Accretionnary Structures
نویسندگان
چکیده
Otoliths are small stone located in fish inner ears and characterised by an accretionnary growth. They act as a biological archive and are of much use in marine biology and ecology. In this article a computer vision framework is presented which recover the successive shapes of the otolith and the significant ridges and valleys from a 2D grayscale image. Seeing vision processes as complex systems, an iterated process is presented using two perceptual information to drive a variational algorithm which considers the successive concentric shapes of the otoliths as level-sets of a dome shaped potential function. Potential applications includes in particular fish age estimation, otoliths morphogenesis modelling, otolith proxy fusion.
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