Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: CRC

Sortuj według:

Ogranicz wyniki do:

Noise robust illumination invariant face recognition via bivariate wavelet shrinkage in logarithm domain

Chen Guang Yi, Krzyżak Adam, Duda Piotr, Cader Andrzej

Journal of Artificial Intelligence and Soft Computing Research

2022

Vol. 12, No. 3

169--180

Recognizing faces under various lighting conditions is a challenging problem in artificial intelligence and applications. In this paper we describe a new face recognition algorithm which is invariant to illumination. We first convert image files to the logarithm domain and then we implement them using the dual-tree complex wavelet transform (DTCWT) which yields images approximately invariant to changes in illumination change. We classify the images by the collaborative representation-based classifier (CRC). We also perform the following sub-band transformations: (i) we set the approximation sub-band to zero if the noise standard deviation is greater than 5; (ii) we then threshold the two highest frequency wavelet sub-bands using bivariate wavelet shrinkage. (iii) otherwise, we set these two highest frequency wavelet sub-bands to zero. On obtained images we perform the inverse DTCWT which results in illumination invariant face images. The proposed method is strongly robust to Gaussian white noise. Experimental results show that our proposed algorithm outperforms several existing methods on the Extended Yale Face Database B and the CMU-PIE face database.

Safety proof of Combinations of CRC for Industrial Communication

Mattes T., Schiller F., Morwald A., Pfahler J., Honold T.

Journal of Applied Computer Science

2008

Vol. 16, nr 1

15-32

Cyclic Redundancy Check (CRC) is an established coding method to ensure a low probability of undetected errors (residual error probability, Pre) in industrial communication. Since CRC is very efficient it is obvious to analyze combinations of CRC in order to decrease Pre and to reduce equipment costs. The contribution presents results of analysis of four combinations of CRC. It is shown by means of examples, that Pre can be decreased by choosing the right combination. Especially, the correct determination of Pre of nested CRC in communication layers is explained. It allows the reduction of worst case assumptions in safety proofs.