171 2000 eng 49 56 conferenceobject 0 -- -- -- Textural features are applied for detection of morphological pathologies of vocal cords. Cooccurrence matrices as statistical features are presented as well as filter bank analysis by Gabor filters. Both methods are extended to handle color images. Their robustness against camera movement and vibration of vocal cords is evaluated. Classification results due to three in vivo sequences are in between 94.4 % and 98.9%. The classification errors decrease if color features are used instead of grayscale features for both statistical and Fourier features Advances in Quantitative Laryngoscopy, Voice and Speech Research, Procs. 4th International Workshop, Friedrich Schiller University, Jena Christoph Palm Thomas M. Lehmann Klaus Spitzer eng uncontrolled Color Texture eng uncontrolled Gabor Filter deu uncontrolled Cooccurrence Matrix eng uncontrolled Image Processing Informatik, Informationswissenschaft, allgemeine Werke Fakultät Informatik und Mathematik Palm, Christoph (Prof. Dr.) - ReMIC Externe Publikationen Labor Regensburg Medical Image Computing (ReMIC) Digitale Transformation