3D Attributes and Classification of Salt Bodies on Unlabelled Datasets

Summary We present an approach to detect and segment salt bodies in new unlabelled datasets based on 3D attributes and a classifier. The classifier is trained on one labelled dataset and used to classify salt bodies on new unlabelled datasets. Through a forward attribute selection algorithm and manual inspection of attribute images and classified images, we have evaluated a wide set of attributes and classifiers with the aim to be able to detect...