Image Sequence Processing For Target Estimation In Forward Looking Infrared (FUR) Imagery

Zhuhua Mao; Robin N Strickland

doi:10.1117/12.944703

24 June 1988 Image Sequence Processing For Target Estimation In Forward Looking Infrared (FUR) Imagery

Zhuhua Mao, Robin N Strickland

Proceedings Volume 0901, Image Processing, Analysis, Measurement, and Quality; (1988) https://doi.org/10.1117/12.944703
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

This paper presents a methodology for estimating the silhouette of a target from a time-sequence of forward-looking infrared (FLIR) imagery recorded at video rates. The major problems associated with this type of imagery are noise and frame-to-frame misregistration. We achieve registration and noise smoothing by a combination of spatial and temporal processing. Edge preserving smoothing is applied to individual frames prior to gray level thresholding. A new algorithm for finding the optimum threshold is presented. The resulting sequence of binary image frames is registered by cross-correlating the 1-D x and y projections of each frame. The computationally efficient 1-D registration technique is just as accurate as a much slower 2-D correlation method. Temporal smoothing is realized by using a binary median filter to process frame sequences. We show that binary temporal median filtering is comparable in performance with gray level median processing followed by thresholding. The obvious advantage of binary processing lies in its potential for real time processing.

Citation Download Citation

Zhuhua Mao and Robin N Strickland "Image Sequence Processing For Target Estimation In Forward Looking Infrared (FUR) Imagery", Proc. SPIE 0901, Image Processing, Analysis, Measurement, and Quality, (24 June 1988); https://doi.org/10.1117/12.944703

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KEYWORDS

Digital filtering

Forward looking infrared

Image processing

Image filtering

Smoothing

Image segmentation

Image quality

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