The  GSOC 2017 was successfully completed by  Mukesh Gupta.  The aim of the project was to provide the general purpose environment that allows biologists and other domain experts to use  state-of-the-art techniques in machine learning to improve   segmentation of objects in different types of images.  The project was completed under the supervision of  Dimiter Prodanov  (Belgian INCF Node  Fellow) and Sumit Kumar Vohra (an Alumni of the Belgian INCF Node )

In this Google summer of code we expanded the existing functionality of the Active Segmentation plugin. Earlier this tool only used for Segmentation, now functionality has been extended to classification of the images. We used Zernike moments as a feature vector so we extracted Zernike moments from the images and then used these features to train our SVM classifier to classify images.



The code can be found here: