Аннотація | Context. The basic methods of quantitative evaluation of image segmentation quality are explored. They are used to select segmentation algorithms for specific image classes. The object of the study is cytological and histological images that are used indiagnosing the pathological processes in oncology. The subject of the study is quantitative methods for segmentation algorithms' quality evaluation.
Objective. The purpose of the work is to introduce the Gromov-Fr chet metric and develop a metric-based method for quantitative evaluation of segmentation quality for image segmentation algorithms' comparison.
Method. The quantitative evaluation criteria, which are based on comparison with etalon image and without the comparison with etalon image, are analyzed. The algorithms for measuring the distances between images based on the Fr chet, Hausdorff, and Gromov-Hausdorff metrics are analyzed.
To calculate the distance between the contours of images, the Gromov-Fr chet distance was introduced. The cond |