A Corner Matching Algorithm Using Fuzzy Logic
نویسنده
چکیده
| An eecient corner matching algorithm is developed to minimize the amount of calculation. To reduce the amount of calculation, all available information from a corner detector is used to make model. This information has uncertainties due to discretization noise and geometric distortion , and this is represented by fuzzy rule base which can represent and handle the uncertainties. From fuzzy inference procedure, a matched segment list is extracted, and resulted segment list is used to calculate the transformation between object of model and scene. In order to reduce the fuzzy rule set, an overlapping cost to minimize the matched segment list is introduced. Also an auto tuning scheme of the fuzzy rule base is developed to nd out the uncertainties of features from recognized results automatically. To show the eeectiveness of the developed algorithm, experiments are conducted for images of real electronic components.
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