The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory ...

Chronic foot pain is a disease that progresses with age and has a high prevalence. Therapeutic procedures include the utilization of orthoses or insoles that are placed inside the footwear. Design of personalized insoles ...

Clustering is a well-established technique for segmentation. However, clustering validation is rarely used for this purpose. In this work we adapt a clustering validation method, Clustering Stability (CS), to automatically ...

Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacial deformities. CBCT 3D reconstruction and segmentation of bones such as mandible ...

In this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Specifically, from all the level lines we ...

Many papers are published every year containing new methodologies for brain tissue segmentation in magnetic resonance images. The evaluation of these methods is fundamental to understand their behavior and to observe their ...

Histological images analysis is an important procedure to diagnose different types of cancer. One of them is the chronic lymphocytic leukemia (CLL), which can be identified by applying image segmentation techniques. This ...

Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most ...

Tooth transpositions present at a relatively low incidence in the world population and primarily affect maxillary canines and premolars. Treatment of this disturbance should take into account aspects such as facial pattern, ...