|Image Credit: NASA/JPL-Caltech/MSSS|
After all, the university points out, many times there are several thousand images to analyze, and the soil particles are typically only five to 10 pixels wide. Now, however, a research team led by Suniti Karunatillake of the LSU Department of Geology and Geophysics has come to the rescue with a new algorithm that should make the task easier.
Karunatillake and colleagues from Rider University, Stony Brook University and the US Geological Survey (USGS) in Flagstaff, Arizona joined forces to create an image analysis and segmentation algorithm specifically to help NASA scientists complete this basic, but nonetheless challenging, part of their mission.
Continue Learning: http://www.redorbit.com/news/space/1113005274/mars-curiosity-algorithm-for-soil-images-111613/