Selection of the segmentation algorithm to determine the region of interest of images of sputum analysis containing mycobacterium tuberculosis
Abstract
Selection of the segmentation algorithm to determine the region of interest of images of sputum analysis containing mycobacterium tuberculosis
Incoming article date: 15.06.2017The basic methods of image segmentation are considered - the algorithms of Canni, Harris and FAST, algorithms for contour analysis. These methods are implemented using the C ++ programming language and the OpenCV graphics library. The testing of algorithms on sputum analysis images stained using the Tsily-Nielsen method was performed.
Keywords: Ziehl-Nielsen method, angle detector, boundary detector, contour analysis, Harris, FAST, Canni, OpenCV.