Pattern recognition techniques for biological tissues differentiation in planktonic organisms

Effective techniques for biological tissue differentiation and classification are critical in biological and ecological studies. Image data mining and sensing techniques have been developed and machine learning (ML) algorithms have been explored, however, tissue content differentiation is still a challenging problem. This work presents a novel method that appropriately combines image processing and ML techniques for content classification of biological tissues. The proposed method (Fig. artificial neural networks and support vector machines); (4) validating trained classifiers; and (5) classifying new tissues not use before in training. A method prototype was implemented in MATLAB (R2013a). Figure