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STUDY ON THREE-DIMENSIONAL SURFACE RECONSTRUCTION OF BLACK MELON SEEDS USING PHOTOMETRIC STEREO

机译:使用光度立体声的黑色甜瓜种子三维表面重建研究

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In this paper, the 3-D surface reconstruction method of black melon seeds based on photometric stereo was studied, which was then used to identify the wrinkled seeds. After the image capturing system being set up, the system accuracy was calibrated by reconstructing a standard hemispherical object. Then, the whole 3-D surface of a seed was built by reconstructing its central and periphery region with PS separately for the two regions are of great colour differences. Finally, experiments were done to show that cross surface area of the reconstructed surface can be used as wrinkle identification parameter with the identification threshold of 9. Under this threshold more than 90% of wrinkled seeds could be successfully identified while only 5% of normal seeds being identified as wrinkled.
机译:本文研究了基于光度立体声的黑瓜种子的3-D表面重建方法,然后用于鉴定皱纹的种子。在设置图像捕获系统之后,通过重建标准半球物体来校准系统精度。然后,通过单独将其中央和周边区域重建其中央和周边区域,为两个区域分开地重建了种子的整个3-D表面是具有巨大的颜色差异。最后,完成实验表明,重建表面的横曲面区域可以用作皱纹识别参数,鉴定阈值9.在该阈值下,可以成功识别超过90%的皱纹种子,同时仅常规种子的5%被确定为皱纹。

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