Incorporation of Polar Mellin Transform in a Hybrid Optoelectronic Correlator for Scale & Rotation Invariant Target Recognition
Mehjabin S. Monjur, Shih Tseng, Renu Tripathi, M.S. Shahriar

TL;DR
This paper introduces a hybrid optoelectronic correlator incorporating Polar Mellin Transform to achieve simultaneous scale, rotation, and shift invariant target recognition, overcoming previous limitations and validating through numerical simulations.
Contribution
It presents a novel hybrid correlator design that integrates PMT for invariant detection and solves key limitations of prior methods.
Findings
Successfully detects objects with scale, rotation, and shift invariance.
Enables simultaneous detection of multiple objects.
Validated through numerical simulations.
Abstract
In this paper, we show that our proposed hybrid optoelectronic correlator (HOC), which correlates images using spatial light modulators (SLM), detectors and field programmable gate arrays (FPGAs), is capable of detecting objects in a scale and rotation invariant manner, along with the shift invariance feature, by incorporating polar mellin transform (PMT). We also illustrate a key limitation of the ideas presented in previous papers on performing PMT and present a solution to circumvent this limitation by cutting out a small circle at the center of the Fourier Transform which precedes PMT. Furthermore, we show how to carry out shift, rotation and scale invariant detection of multiple matching objects simultaneously, a process previously thought to be incompatible with PMT based correlators. We present results of numerical simulations to validate the concepts.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
