Abstract
The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Automated classification of objects depicted wi thin images and videos has important real lifeapplications. For example, in agr iculture, classifying the ripeness or condition of fruits can greatly improveef ficiency. For example, it would be desirable for an automated system to be able to analyze images offruits in the fields and predicting the harvest time, or to analyze harvested fruit and automatically classifythe fruit for sorting and qu ality control. In another example, the healthcare industry would benefit fromto ols to identify and classify abnormalities by analyzing medical reports such as X-ray and CT scans ofthe human body. In many scenarios, due to the complexity o f observable features in an image, manualmethod of classification of objects in an image performed by humans is either a time consuming processor simply not a ccurate enough.”
NETL
NSTL