Computer Science – Graphics
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufm.p21a0137b&link_type=abstract
American Geophysical Union, Fall Meeting 2005, abstract #P21A-0137
Computer Science
Graphics
6225 Mars, 6297 Instruments And Techniques
Scientific paper
We have developed the Rock Identification Toolkit (RockIT), a mature, cross-platform, graphical program designed to help geologists rapidly and accurately label rocks and particles in images. As images are labeled, RockIT reports both individual rock (or particle) statistics and overall scene statistics. Basic statistics include 2D rock (image) area and average albedo. A more involved set of statistics uses a direct least squares technique to fit a rock trace to an ellipse and report the semimajor and semiminor axes, orientation, eccentricity, and quality of fit. When range data (e.g. derived from a stereo image pair) is available, RockIT provides both 3D rock size and overall scene area estimates. All statistics may be manipulated interactively and later exported to plain, tab-delimited text for easy import into tools like Excel or Matlab for further sophisticated analysis, summarization, and visualization. RockIT can read and display both image and, when available, corresponding range data. Although it supports several popular graphics file formats (e.g. JPEG, TIFF, etc.) our focus has been on more domain-specific file formats, particularly the MER Planetary Data System (PDS) formats. Images, once displayed, may be enhanced in continually, in real-time, throughout the analysis process. Examples of image enhancement include increasing or decreasing brightness and contrast, performing simple min/max intensity normalizations or more complicated histogram equalizations. Several scientists and students at JPL, NASA, Cornell, and PSI use RockIT to identify and characterize rock shape, size, and distribution in MER microscopic imager and panoramic images. Recently, Golombek et al. (2005) used RockIT to compare rock size distributions and calculate cumulative fractional area coverage at several locations along the Spirit traverse. We have a laptop computer running RockIT to demonstrate its capabilities and allow people to experiment on their own.
Anderson Robert C.
Bornstein Benjamin
Castano A.
Castano Rebecca
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