0410961 20240103182251.820060210235959.9 Segmentation, autofocusing and signature extraction of tuberculosis sputum images Bellingham SPIE 2002 12 s. Photonic Devices and Algorithms for Computing IV. Proceedings341-352 tuberculosis fluorescence microscopy feature detection cav_un_auth*0212976 Forero-Vargas M. CO cav_un_auth*0101209 Šroubek Filip UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0212977 Alvarez-Borrego J. MX cav_un_auth*0212978 Malpica N. ES cav_un_auth*0021072 Cristobal G. ES http://library.utia.cas.cz/prace/20020175.pdf 09K CEZ:AV0Z1075907 Different bacteria segmentation techniques of tuberculosis images are presented. Segmentation based on chromatic information uses separate chromatic histograms or a simple color filtering account. Another method extracts image signatures by projecting logarithmic-polar mappings onto 1D vectors. An achromatic segmentation method is also presented based on gray-level morphological operators. Comparission of different autofocusing algorithms is also given. cav_un_auth*0212979 International Symposium on Optical Science and Technology /47./ Seattle US 07.07.2002-11.07.2002 BD ZOI http://hdl.handle.net/11104/0131048 UTIA-B 20020175 2002 2002 Bellingham SPIE Photonic Devices and Algorithms for Computing IV. Proceedings 341 352