MACHINE VISION GUIDED SENSOR POSITIONING SYSTEM FOR LEAF TEMPERATURE ASSESSMENT
2001
A sensor positioning system was developed for monitoring plants’ well–being using a non–contact sensor. Image
processing algorithms were developed to identify a target region on a plant leaf. A novel algorithm to recover view depth was
developed by using a camera equipped with a computer–controlled zoom lens. The methodology has improved depth recovery
resolution over a conventional monocular imaging technique. An algorithm was also developed to find a maximum enclosed
circle on a leaf surface so the conical field–of–view of an infrared temperature sensor could be filled by the target without
peripheral noise. The center of the enclosed circle and the estimated depth were used to define the sensor 3–D location for
accurate plant temperature measurement.
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