12 October 2015 Probabilistic model for quick detection of dissimilar binary images
Author Affiliations +
Abstract
We present a quick method to detect dissimilar binary images. The method is based on a “probabilistic matching model” for image matching. The matching model is used to predict the probability of occurrence of distinct-dissimilar image pairs (completely different images) when matching one image to another. Based on this model, distinct-dissimilar images can be detected by matching only a few points between two images with high confidence, namely 11 points for a 99.9% successful detection rate. For image pairs that are dissimilar but not distinct-dissimilar, more points need to be mapped. The number of points required to attain a certain successful detection rate or confidence depends on the amount of similarity between the compared images. As this similarity increases, more points are required. For example, images that differ by 1% can be detected by mapping fewer than 70 points on average. More importantly, the model is image size invariant; so, images of any sizes will produce high confidence levels with a limited number of matched points. As a result, this method does not suffer from the image size handicap that impedes current methods. We report on extensive tests conducted on real images of different sizes.
© 2015 SPIE and IS&T 1017-9909/2015/$25.00 © 2015 SPIE and IS&T
Adnan A. Y. Mustafa "Probabilistic model for quick detection of dissimilar binary images," Journal of Electronic Imaging 24(5), 053024 (12 October 2015). https://doi.org/10.1117/1.JEI.24.5.053024
Published: 12 October 2015
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Binary data

Image processing

Video

Image segmentation

Associative arrays

Databases

Distance measurement

RELATED CONTENT

Peano key rediscovery for content-based retrieval of images
Proceedings of SPIE (October 06 1997)
Line-based logo recognition through a web-camera
Proceedings of SPIE (November 15 2007)
Color scene recognition using relational distance measurement
Proceedings of SPIE (February 27 1996)
Spotting words in handwritten Arabic documents
Proceedings of SPIE (January 16 2006)

Back to Top