Journal
SENSORS
Volume 12, Issue 9, Pages 12661-12672Publisher
MDPI
DOI: 10.3390/s120912661
Keywords
multispectral image descriptor; color and infrared images; feature point descriptor
Funding
- University of Bio-Bio, Chile [100710 3/R]
- Spanish Government [CSD2007-00018, TIN2011-29494-C03-02, TIN2011-25606]
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This paper presents a novel feature point descriptor for the multispectral image case: Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge Oriented Histogram (EOH) descriptor. Finally, points of interest from multispectral images are matched by finding nearest couples using the information from the descriptor. The provided experimental results and comparisons with similar methods show both the validity of the proposed approach as well as the improvements it offers with respect to the current state-of-the-art.
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