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首页> 外文会议>IEEE International Conference on Computational Intelligence and Computing Research >Computer vision based feature extraction of leaves for identification of medicinal values of plants
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Computer vision based feature extraction of leaves for identification of medicinal values of plants

机译：基于计算机视觉的叶片特征提取以鉴定植物的药用价值

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Plants are considered as one of the greatest assets in the field of Indian Science of Medicine called Ayurveda. Some plants have its medicinal values apart from serving as the source of food. The innovation in the allopathic medicines has degraded the significance of these therapeutic plants. People failed to have their medications at their door step instead went behind the fastest cure unaware of its side effects. One among the reasons is the lack of knowledge about identifying medicinal plants among the normal ones. So, a Vision based approach is being employed to create an automated system which identifies the plants and provides its medicinal values thus helping even a common man to be aware of the medicinal plants around them. This paper discusses about the formation of the feature set which is the important step in recognizing any plant species.
机译：植物被认为是印度医学科学领域称为阿育吠陀的最大资产之一。有些植物除了作为食物来源外，还具有药用价值。同种疗法药物的创新降低了这些治疗植物的重要性。人们没有在家门口就吃药，而是在不知道其副作用的情况下落后于最快的治疗方法。原因之一是缺乏关于在正常植物中鉴别药用植物的知识。因此，采用基于视觉的方法来创建一个自动化系统，该系统可以识别植物并提供其药用价值，从而甚至帮助普通百姓了解周围的药用植物。本文讨论了特征集的形成，这是识别任何植物物种的重要步骤。

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