Effect of Image Rectifying and Imaging Parameters on Disparity Map of Tree Pictures
Publish place: 2rd International Conference on Soft Computing
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSCG02_011
تاریخ نمایه سازی: 7 اسفند 1396
Abstract:
One method of creating 3D model of tree is stereo vision technique. Tree canopy geometric characteristics are directly related to tree growth and productivity. So a disparity map and a 3D model of the tree can be useful. Many parameters affect disparity map, such as the lighting that affects camera and imaging parameters, the calibration that needed to rectify the image, etc. In this study, effects of ISO speed, exposure time, metering mode (imaging and camera parameters) and image rectifying on disparity map of tree pictures was evaluated. It was observed that image rectifying, ISO speed, exposure time and metering mode were affected on disparity map. If pictures weren’t rectified, disparity map was calculated but it had error in values. Camera parameters were affected on light intensity of pictures. Best disparity map was obtained in conditions thatISO speed and exposure time had fewer value and metering mode was set to pattern mode.
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Authors
Ayoub Jafari Malekabadi
PhD Student, Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Mehdi Khojastehpou
Associate Professor, Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Bagher Emadi
Associate Professor, Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran