FEASIBILITY STUDY OF AUTOMATIC IDENTIFICATION OF PLANKTIC FORAMINIFERA BY COMPUTER VISION

This paper presents a feasibility study of automatic identification of planktic foraminifera by computer vision techniques. Image analysis t echniques are used to compute the parameters describing morphological features of the foraminifera. Artificial intelligence techniques are e mployed for the construction of a prototype knowledge-based system for the identification of specimens based on the parameters obtained by t he image analysis algorithms. Experimental results show that it is pos sible to automatically identify planktic foraminifera using computer v ision techniques.