Tan-Toan Le

  • Citations Per Year
Learn More
One of the challenges of feature extraction in image processing is caused by the fact that objects originating from a feature class don't always appear in a unique size, and the feature sizes are diverse. Hence, a multiresolution analysis using wavelets should be suitable. Because of their integer scaling factors classical dyadic or M-channel wavelet filter(More)
Despite its age the inspection of specular surfaces is still a topic of ongoing research. While sensory approaches to inspect such surfaces based on deflectometry are increasingly used in practice, the evaluation techniques using the acquired signals (images and reconstruction results) are often not sufficient. This work addresses the challenge of detecting(More)
In our previous works, we have presented methods for optimizing wavelet filter banks, which can be used for classification of image objects. The wavelet filter banks were designed to be biorthogonal, which enables a multiscale analysis on given image data. Moreover, the filters were optimized with respect to the shape, which helps the filter banks to(More)
  • 1