Abstract
Image matching is an important task. There are many available methods for occluded image matching, e.g. Hausdorff distance, Distance Transformi and wavelet decomposition based methods. We proposed Modified Chamfer Matching Algorithm (MCMA) [16], a new simple distance transform based image matching algorithm. Here we propose few more matching measures and compare them. Basic concepts relating to distance transform are also explained. Examples to demonstrate the algorithm and necessary results are also included. © Springer-Verlag 2003.
Cite
CITATION STYLE
Ghafoor, A., Iqbal, R. N., & Khan, S. (2003). Image matching using distance transform. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2749, 654–660. https://doi.org/10.1007/3-540-45103-x_87
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
