Performance measures for pattern recognition in a wavelet joint transform correlator
DOI
https://doi.org/10.1117/12.898769
Document Type
Conference Proceeding
Publication Date
12-1-2011
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Abstract
The present paper shows the results of the implementation of a correlation Digital processed Joint Wavelets for gray level images target recognition applications. The aim is to study and characterize the different families of twodimensional wavelets that are available and build a system of recognition of images it becomes operational, flexible and reliable. The resulting methodology of this study becomes a useful tool to implement in the future, in which the evolution of technology will provide greater reliability and algorithms will allow the design of correlation more compact, fast and versatile with multiple applications. The correlation was tested in image recognition, which also involved images that suffered distortion type Gaussian noise in order to verify its robustness to the ability of discrimination correlation Transformed Joint (JTC) classics. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Volume
8011
ISSN
0277786X
ISBN
9780819485854
Recommended Citation
Mestre, Gelys and Torres Moreno, César Orlando, "Performance measures for pattern recognition in a wavelet joint transform correlator" (2011). Scopus Unisalle. 608.
https://ciencia.lasalle.edu.co/scopus_unisalle/608
Identifier
SCOPUS_ID:84858413981