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TWIST Image Registration and Change Detection Tool
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Find out more about how CACI MTL can help you!
What TWIST Does
- Automatically registers (spatially aligns) two images in translation, rotation and size with sub-pixel accuracy
- Automatically detects differences in two images due to scene or object changes
- Can be tuned to detect selected types of differences (vehicles, structures, etc.)
- Detecting object changes or relocations, documentation changes, manufacturing defects, metal fatigue, water quality changes, tumor growth, population growth, etc.
- Analyzing large numbers of images rapidly and accurately
- Detecting image differences in real time for time critical targets and/or rapidly changing conditions
CACI MTL's TWIST is Unique
- Advances the state-of-the-art in processing speed, accuracy, versatility and storage efficiency
- Can register images from different types of sensors (visual, infrared, radar, etc.) for data fusion
- Two-axis image sorting technique uses CACI MTL's proven statistical signal processing (SSP) technology to holistically capture all relevant image features with sub-pixel accuracy and orders of magnitude less processing time and storage than traditional techniques
- Treats each row and column of pixels in an image as a spatially varying signal (pixel intensity vs. location)
- Registers images and detects image changes based on spatial variations in image complexity (pixel intensity and frequency)
- Computes row and column axis functions (AFs) as complexity metrics and compares them for each image to perform registration (global min differences in AFs) and change detection (local max difference in AFs)
Peak Values of Image Difference
Metric Indicate Cell Locations of
Image Differences
| TWIST Features | TWIST Benefits |
|---|---|
| Speed - orders of magnitude faster than traditional techniques, which extract many more features (polygons, lines, points, etc.) and perform more complex processing (splines, genetic algorithms, etc.) | High Speed - makes on-the-fly, image registration and difference detection practical |
| Accuracy - capable of sub-pixel accuracy in automatically identifying image differences | Enhances Effectiveness - of operator/analyst by reducing errors caused by fatigue and boredom |
| Storage - requires orders of magnitude less storage than traditional techniques | Simple, Efficient Storage - is ideal for low cost, remote sensing and processing |
| Input Data - images from multiple types of sensors, including photographic, video, laser, radar, infrared, multispectral, hyperspectral, polarimetric, acoustic, biometric, X-ray, MRI, etc. Sensors can be at different viewing angles or distances from object. | Versatility - allows registration and difference detection of object images sensed by different sensor types at different angles and distances |
TWIST H/W-S/W Configuration - PC-based under any Windows O/S, written in C++ and Visual Basic
Original Sponsor - CACI MTL developed the TWIST technology under IR&D and applied it for a classified U.S. government customer
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