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Recognition of plants using a stochastic L-system model

机译:使用随机L系统模型识别植物

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摘要

Recognition of natural shapes like leaves, plants, and trees, has proven to be a challenging problem in computer vision. The members of a class of natural objects are not identical to each other. They are similar, have similar features, but are not exactly the same. Most existing techniques have not succeeded in effectively recognizing these objects. One of the main reasons is that the mod- els used to represent them are inadequate themselves. In this re- search we use a fractal model, which has been very effective in modeling natural shapes, to represent and the guide the recogni- tion of a class of natural objects, namely plants.
机译:事实证明,对树叶,植物和树木等自然形状的识别是计算机视觉中的一个难题。一类自然对象的成员彼此不相同。它们相似,具有相似的功能,但不完全相同。大多数现有技术未能成功地有效识别这些对象。主要原因之一是用来表示它们的模型本身不足。在这项研究中,我们使用分形模型来表示和指导识别一类自然物体,即植物,该分形模型在对自然形状进行建模方面非常有效。

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