FACADE SEGMENTATION WITH A STRUCTURED RANDOM FOREST

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest

Brain Tumor Segmentation Based on Random Forest

LÁSZLÓ LEFKOVITS, SZIDÓNIA LEFKOVITS and MIRCEA-FLORIN VAIDA Department of Electrical Engineering, Faculty of Technical and Human Sciences, Sapientia University, Tg. Mureş, Romania Department of Informatics, Faculty of Science and Letters “Petru Maior” University, Tg. Mureş, Romania Department of Communications, Technical University of Cluj-Napoca, Romania Corresponding author: [email protected]...

Online Random Forest for Interactive Image Segmentation

Many real-world applications require accurate segmentation of images into semantically-meaningful regions. In many cases one needs to obtain accurate segment maps for a large dataset of images that depict objects of certain semantic categories. As current state-of-the art methods for semantic image segmentation do not yet achieve the accuracy required for their use in real-world applications, t...

Segmentation of retinal OCT images using a random forest classifier

Optical coherence tomography (OCT) has become one of the most common tools for diagnosis of retinal abnormalities. Both retinal morphology and layer thickness can provide important information to aid in the differential diagnosis of these abnormalities. Automatic segmentation methods are essential to providing these thickness measurements since the manual delineation of each layer is cumbersome...

Unsupervised Facade Segmentation Using Repetitive Patterns

We introduce a novel approach for separating and segmenting individual facades from streetside images. Our algorithm incorporates prior knowledge about arbitrarily shaped repetitive regions which are detected using intensity profile descriptors and a voting–based matcher. In the experiments we compare our approach to extended state–of–the–art matching approaches using more than 600 challenging ...