Share Email Print

Proceedings Paper

Morphological filters and wavelet-based image fusion for concealed weapons detection
Author(s): Liane C. Ramac; Mucahit K. Uner; Pramod K. Varshney; Mark G. Alford; David D. Ferris
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

When viewing a scene for an object recognition task, one imaging sensor may not provide all the information needed for recognition. One way to obtain more information is to use multiple sensors. These sensors should provide images that contain complementary information about the same scene. After preprocessing the source images, we use image fusion to combine the information from the difference sensors. The images to be fused may have some details such as shadows, wrinkles, imaging artifacts, etc., that are not needed in the final fused image. One application of morphological filters is to remove objects of a given size range from the image. Therefore, we use morphological filters in conjunction with wavelets to improve the recognition performance after fusion. After morphological filtering, wavelets are used to construct multiresolution representations of the source images. Once the source images are decomposed, the details are combined to form a composite decomposed image. This method allows details at different levels to be combined independently so that important information is maintained in the final composite image. We are developing image fusion algorithms for concealed weapon detection (CWD) applications. Fusion is useful in situations where the sensor types have different properties, e.g., IR and MMW sensors. Fusing these types of images results in composite images which contain more complete information for CWD applications such as detection of concealed weapons on a person. In this paper we present our most recent results in this area.

Paper Details

Date Published: 20 March 1998
PDF: 10 pages
Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998); doi: 10.1117/12.303671
Show Author Affiliations
Liane C. Ramac, Syracuse Univ. (United States)
Mucahit K. Uner, Syracuse Univ. (United States)
Pramod K. Varshney, Syracuse Univ. (United States)
Mark G. Alford, Air Force Research Lab. (United States)
David D. Ferris, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3376:
Sensor Fusion: Architectures, Algorithms, and Applications II
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top