We propose a novel approach to implement nonlinear morphological correlation. Previous implementation was based on a time sequential approach that consists on displaying different binary image decomposition in a joint transform correlator adding each joint power spectra sequentially. A second Fourier transformation of the sum of joint power spectra gives the correlation output. In this paper, we propose to interlace the different binary images into one single distribution. Then, we introduce the distribution in a conventional joint transform correlator. The correlation output gives the morphological correlation at a specific location. The advantage is important considering that no sequential approach is needed anymore, so the necessary number of correlations is reduced. Optical implementation results are provided.
|Number of pages||6|
|State||Published - 1 Aug 2006|
Bibliographical noteFunding Information:
This work was supported by FEDER funds and the Spanish Ministerio de Educación y Ciencia under the project FIS2004-06947-C02-01, the Agencia Valenciana de Ciencia y Tecnología (AVCT), project GRUPOS03/117, the D.G Investigació i Transferència Tecnològica, project IIARC0/2004/217.