Comparison of dense matching algorithms in noisy image

Manassanan Srikham; Charnchai Pluempitiwiriyawej; Thitiporn Chanwimaluang

doi:10.1117/12.855676

26 February 2010 Comparison of dense matching algorithms in noisy image

Manassanan Srikham, Charnchai Pluempitiwiriyawej, Thitiporn Chanwimaluang

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461V (2010) https://doi.org/10.1117/12.855676
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

In this paper, we compare two correlation techniques for dense matching used in image corresponding problem, namely, the Sum of Squared Difference (SSD) and Normalized Cross Correlation (NCC). Both algorithms look for part of the image that matches a template based on intensity information. The window of the template is of Voronoi size, according to each Voronoi cells. The corresponding seed relations in each cell until all pixels within each cell are processed using SSD and NCC algorithms. In our experiments compare the performance of SSD and NCC in image with additive Gaussian noise, salt and pepper noise, and speckle noise. We found that SSD is more robust to noise than NCC in all cases.

Citation Download Citation

Manassanan Srikham, Charnchai Pluempitiwiriyawej, and Thitiporn Chanwimaluang "Comparison of dense matching algorithms in noisy image", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461V (26 February 2010); https://doi.org/10.1117/12.855676

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