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Counting red grapes in vineyards by detecting specular spherical reflection peaks in RGB images obtained at night with artificial illumination

机译:通过检测夜间通过人工照明获得的RGB图像中的镜面球面反射峰来计算葡萄园中的红葡萄

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摘要

This paper presents an automatic method for counting red grapes from high-resolution images of vineyards taken under artificial lighting at night. The proposed method is based on detecting the specular reflection peaks from the spherical surface of the grapes. These intensity peaks are detected by means of a morphological peak detector based on the definition of one central point and several radial points. The morphological condition applied is that the intensity of the central point must be higher than all the radial points. The grape counting results obtained in different occlusion conditions were compared with a manual labeling procedure. On average, the percentage of extremely occluded grapes (occlusion higher than 75%) in the clusters was 33%, whereas the average counting detection error obtained with the automatic method proposed was -14% with only 7% of false positives, confirming that this proposal can count even highly occluded grapes. (C) 2014 Elsevier B.V. All rights reserved
机译:本文提出了一种自动方法,用于从夜间在人工照明下拍摄的葡萄园的高分辨率图像中对红葡萄进行计数。所提出的方法是基于从葡萄的球形表面检测镜面反射峰。这些强度峰借助于基于一个中心点和几个径向点的定义的形态峰检测器来检测。应用的形态学条件是中心点的强度必须高于所有径向点。将在不同咬合条件下获得的葡萄计数结果与手动标记程序进行比较。平均而言,葡萄簇中极度遮挡的葡萄(遮挡度高于75%)的百分比为33%,而使用自动方法提出的平均计数检测误差为-14%,假阳性率仅为7%,证实了这一点。提议甚至可以算出高度封闭的葡萄。 (C)2014 Elsevier B.V.保留所有权利

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