Photometric stereo for three-dimensional leaf venation extraction.
Photometric stereo for three-dimensional leaf venation extraction.
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DOI：
10.1016/j.compind.2018.02.006
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发表时间：
2018-06
影响因子：
10
通讯作者：
Grieve B
中科院分区：
文献类型：
--
作者：
Zhang W;Hansen MF;Smith M;Smith L;Grieve B
提出了一种准确、鲁棒的叶片脉序提取方法。所提出的三维成像系统可以恢复照明无关和高分辨率的表面法线特征。提出的纹理提取算法通过融合形状指数和弯曲度特征，采用局部形状度量。该算法可以确定脉序极性-静脉是否高于或凹进叶子。所提出的方法可以克服在现实世界的环境中常见的不良变化。由于复杂、多样和微妙的脉序结构所带来的相当大的挑战，强烈阻碍了叶片脉序提取的研究。此外，不可预测的局部叶片弯曲，不期望的环境照明，和异常的条件下的叶子可能与其他并发症共存。虽然叶片脉序提取具有很高的潜力，以协助植物表型，物种形成和建模，其调查迄今已被局限于彩色图像的采集和处理，这是通常混淆上述生物和非生物的变化。为了弥补这一领域的空白，我们设计了一个三维成像系统的叶片脉序提取，它可以克服黑暗或明亮的环境照明，并可以允许在高分辨率的三维数据重建。我们进一步提出了一种新的叶脉提取算法，可以获得照明无关的表面正常功能，通过执行光度立体重建，以及局部形状措施，通过融合解耦的形状指数和曲率功能。此外，该算法可以确定脉序极性-无论静脉是凸起或凹进一片叶子。对不同树种、不同脉序结构的叶片两侧的实验表明，该方法能够准确地提取一级、二级甚至三级叶脉。它也被证明是强大的对叶子疾病，可能会导致显着的颜色变化。在9个不同的实验中，通过正确识别凸起或凹陷的静脉，验证了该算法在确定静脉极性方面的有效性。
An accurate and robust leaf venation extraction method is proposed. The proposed 3D imaging system can recover illumination-independent and high-resolution surface normal features. The proposed venation extraction algorithm employs local shape measures by fusing shape index and curvedness features. The algorithm can determine venation polarity – whether veins are raised above or recessed into a leaf. The proposed method can overcome undesirable variations commonly found in real-world environments. Leaf venation extraction studies have been strongly discouraged by considerable challenges posed by venation architectures that are complex, diverse and subtle. Additionally, unpredictable local leaf curvatures, undesirable ambient illuminations, and abnormal conditions of leaves may coexist with other complications. While leaf venation extraction has high potential for assisting with plant phenotyping, speciation and modelling, its investigations to date have been confined to colour image acquisition and processing which are commonly confounded by the aforementioned biotic and abiotic variations. To bridge the gaps in this area, we have designed a 3D imaging system for leaf venation extraction, which can overcome dark or bright ambient illumination and can allow for 3D data reconstruction in high resolution. We further propose a novel leaf venation extraction algorithm that can obtain illumination-independent surface normal features by performing Photometric Stereo reconstruction as well as local shape measures by fusing the decoupled shape index and curvedness features. In addition, this algorithm can determine venation polarity – whether veins are raised above or recessed into a leaf. Tests on both sides of different leaf species with varied venation architectures show that the proposed method is accurate in extracting the primary, secondary and even tertiary veins. It also proves to be robust against leaf diseases which can cause dramatic changes in colour. The effectiveness of this algorithm in determining venation polarity is verified by it correctly recognising raised or recessed veins in nine different experiments.
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DOI：
10.1109/34.3909
发表时间：
1988-07-01
影响因子：
23.6
作者：
FRANKOT, RT;CHELLAPPA, R
通讯作者：
CHELLAPPA, R
影响因子：
4.5
作者：
AlzateMarin, AL;Baia, GS;Moreira, MA
通讯作者：
Moreira, MA
将叶静脉与生长率联系起来：亚热带树群落的一个例子。
影响因子：
2.6
作者：
Iida, Yoshiko;Sun, I-Fang;Price, Charles A.;Chen, Chien-Teh;Chen, Zueng-Sang;Chiang, Jyh-Min;Huang, Chun-Lin;Swenson, Nathan G.
通讯作者：
Swenson, Nathan G.
影响因子：
7.4
作者：
Price, Charles A.;Symonova, Olga;Weitz, Joshua S.
通讯作者：
Weitz, Joshua S.
DOI：
10.1109/tpami.2003.1233898
发表时间：
2003-10-01
影响因子：
23.6
作者：
Barsky, S;Petrou, M
通讯作者：
Petrou, M