Title :
New Hausdorff distances based on robust statistics for comparing images
Author :
Kwon, Oh-Kyu ; Sim, Dong-Gyu ; Park, Rae-Hong
Author_Institution :
Dept. of Electr. Eng., Sogang Univ., Seoul, South Korea
Abstract :
A Hausdorff distance (HD) is one of commonly used measures for object matching. It calculates the distance between two point sets of edges in two-dimensional binary images without establishing correspondences. This paper analyzes the conventional HD measures based on robust statistics, and proposes robust HD measures based on M-estimation, least trimmed square (LTS), and α-trimmed mean methods. The matching performance by the conventional and proposed HD measures is compared with synthetic and real images
Keywords :
estimation theory; image matching; α-trimmed mean method; Hausdorff distances; M-estimation; comparing images; least trimmed square method; matching performance; object matching; real images; robust statistics; synthetic images; two-dimensional binary images; Degradation; High definition video; Magnetohydrodynamics; Noise measurement; Noise robustness; Performance analysis; Statistical analysis; Statistics; Testing; Yield estimation;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560359
