Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Henri H. Arsenault"'
Publikováno v:
International Trends in Applied Optics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51bd897859bec6356b45dc1b45652da3
https://doi.org/10.1117/3.2265059.ch18
https://doi.org/10.1117/3.2265059.ch18
Publikováno v:
Optik. 123:665-669
We propose two methods to detect differences in images independently of local changes of intensity. The methods are based on calculating geometrical operators when images are considered as vectors. Operators can be expressed in terms of correlations
Publikováno v:
Optics Communications. 284:4430-4434
This work deals with pattern recognition methods based on correlations for images in the presence of noise. We propose a modification of the nonlinear Locally Adaptive Contrast Invariant Filter (LACIF) that yields correlation peaks that are invariant
Publikováno v:
Optics Communications. 238:69-77
We address the problem of image recognition in the presence of unknown uniform and nonuniform intensity transformations. Multiplicative and additive uniform intensity transformations considered are solved using a method that we recently proposed call
Publikováno v:
Optics Communications. 223:273-282
We introduce a new scale-invariant pattern-recognition method that uses nonlinear correlation. We applied several common linear correlations to images decomposed into disjoint binary images, which is very discriminant even when the target is embedded
Publikováno v:
Journal of Modern Optics. 50:285-297
We propose a new shift-, scale-, rotation- and pose-invariant method for three-dimensional object recognition. The method is based on angular scanning about the centroid of two-dimensional images of the objects yielding features invariant under chang
Autor:
Henri H. Arsenault, Pascuala García-Martínez, Manuel Tejera, Daniel Lefebvre, Carlos Ferreira
Publikováno v:
Optics Communications. 201:29-37
We recently demonstrated the high discrimination capability as well as the high sensitivity to small intensity variations of the sliced orthogonal nonlinear generalized (SONG) correlation. This nonlinear correlation has a correlation matrix represent
Improved rotation invariant pattern recognition using circular harmonics of binary gray level slices
Publikováno v:
Optics Communications. 185:41-48
We introduce a new rotation invariant pattern recognition method based on nonlinear correlation. The images are decomposed into disjoint binary slices and then correlated using the common linear correlation. This operation is very discriminant even w
Publikováno v:
Optics Communications. 174:503-515
A new sliced orthogonal nonlinear generalized (SONG) decomposition for image processing can be useful for image representation. We examine the use of this representation for two-class pattern recognition in the presence of noise. The SONG correlation
Publikováno v:
Optics Communications. 173:185-193
We study the performance of the sliced orthogonal nonlinear generalized (SONG) correlation for images degraded by clutter and nonoverlapping background noise. We present experiments on the optical implementation of the SONG correlation obtained by me