@article{(Open Science Index):https://publications.waset.org/pdf/3071, title = {A Sub-Pixel Image Registration Technique with Applications to Defect Detection}, author = {Zhen-Hui Hu and Jyh-Shong Ju and Ming-Hwei Perng}, country = {}, institution = {}, abstract = {This paper presents a useful sub-pixel image registration method using line segments and a sub-pixel edge detector. In this approach, straight line segments are first extracted from gray images at the pixel level before applying the sub-pixel edge detector. Next, all sub-pixel line edges are mapped onto the orientation-distance parameter space to solve for line correspondence between images. Finally, the registration parameters with sub-pixel accuracy are analytically solved via two linear least-square problems. The present approach can be applied to various fields where fast registration with sub-pixel accuracy is required. To illustrate, the present approach is applied to the inspection of printed circuits on a flat panel. Numerical example shows that the present approach is effective and accurate when target images contain a sufficient number of line segments, which is true in many industrial problems.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {5}, year = {2008}, pages = {1411 - 1416}, ee = {https://publications.waset.org/pdf/3071}, url = {https://publications.waset.org/vol/17}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 17, 2008}, }