Microfilariae Classification Using Multiple Classifiers for Color and Shape Features

• Main Authors: AL-Tam Faroq, dos Anjos António, Pion Sébastien, Boussinesq Michel, Shahbazkia Hamid Reza
• Format: Article
• Language: English
• Published: De Gruyter 2016-12-01
• Series: Open Engineering
• Subjects: Loa loa; loiasis; microfilariae; microscopy imaging; illumination correction; multi-classifier
• Online Access: http://www.degruyter.com/view/j/eng.2016.6.issue-1/eng-2016-0079/eng-2016-0079.xml?format=INT
• ISSN: 2391-5439

This paper presents a multi-classifier approach for classifying microfilariae in 2-D images. A shape descriptor based on the quench function is described. This descriptor is represented as a feature vector that encodes the shape information. The color feature vector is calculated as a histogram. Two classifiers were used to train both color and shape feature vectors, one for each vector. The posterior probabilities calculated from the scores of each classifier are then used to calculate the final classification decision. The experimental results show that, although the proposed approach is simple, it is efficient when compared to various approaches.