Literature DB >> 31252875

Demonstration of shift, scale, and rotation invariant target recognition using the hybrid opto-electronic correlator.

Julian Gamboa, Mohamed Fouda, Selim M Shahriar.   

Abstract

Previously, we had proposed a hybrid opto-electronic correlator (HOC), which can achieve the same functionality as that of a holographic optical correlator but without using any holographic medium. Here, we demonstrate experimentally that the HOC is capable of detecting objects in a scale, rotation, and shift invariant manner. First, the polar Mellin transformed (PMT) versions of two images are produced, using a combination of optical and electronic signal processing. The PMT images are then used as the reference and the query inputs for the HOC. The observed correlation signal is used to infer, with high accuracy, the relative scale and angular orientation of the original images. We also discuss practical constraints in reaching a high-speed implementation of such a system. In addition, we describe how these challenges may be overcome for producing an automated version of such a correlator.

Year:  2019        PMID: 31252875     DOI: 10.1364/OE.27.016507

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Translation-invariant optical neural network for image classification.

Authors:  Hoda Sadeghzadeh; Somayyeh Koohi
Journal:  Sci Rep       Date:  2022-10-14       Impact factor: 4.996

  1 in total

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