Keyframes detection and analysis in vocal folds recordings using hierarchical motion techniques and texture information
El Mehdi Ismaili Alaoui, Amaia Méndez Zorrilla, Elhassane Ibn-Elhaj, Begoña García · 2009
This paper presents the study of vocal videostroboscopic videos to detect morphological pathologies using a combination of motion information and segmentation. The motion permits us to obtain the keyframes of total (or minimum) closure and maximum opening and to have the initialization for the segmentation process. The segmentation is made analyzing the image textures applying Gabor filtering. After this stage, where the pathology is (if it exists) is delimited using derivative techniques and interpolation. Finally, the pathology is localized and we can extract some features of each fold.