Shift, Scale and Rotation Invariant Multiple Object Detection using Balanced Joint Transform Correlator
Journal:
arXiv
Published Date:
Mar 18, 2025
Abstract
The Polar Mellin Transform (PMT) is a well-known technique that converts
images into shift, scale and rotation invariant signatures for object detection
using opto-electronic correlators. However, this technique cannot be properly
applied when there are multiple targets in a single input. Here, we propose a
Segmented PMT (SPMT) that extends this methodology for cases where multiple
objects are present within the same frame. Simulations show that this SPMT can
be integrated into an opto-electronic joint transform correlator to create a
correlation system capable of detecting multiple objects simultaneously,
presenting robust detection capabilities across various transformation
conditions, with remarkable discrimination between matching and non-matching
targets.
