首页> 外文期刊>Indian Journal of Computer Science and Engineering >LEAF COLOR, AREA AND EDGE FEATURES BASED APPROACH FOR IDENTIFICATION OF INDIAN MEDICINAL PLANTS
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LEAF COLOR, AREA AND EDGE FEATURES BASED APPROACH FOR IDENTIFICATION OF INDIAN MEDICINAL PLANTS

机译:基于叶色,面积和边缘特征的印度药用植物识别方法

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This paper presents a method for identification of medicinal plants based on some important features extracted from its leaf images. Medicinal plants are the essential aspects of ayurvedic system of medicine. The leaf extracts of many medicinal plants can cure various diseases and have become alternate for allopathic medicinal system now a days. Hence this paper presents an approach where the plant is identified based on its leaf features such as area, color histogram and edge histogram. Experimental analysis was conducted with few medicinal plant species such as Hibiscus, Betle, Ocimum, Leucas, Vinca, Murraya, Centella, Ruta and Mentha. The result proves this method to be a simple and an efficient attempt.
机译:本文基于从叶片图像中提取的一些重要特征,提出了一种鉴定药用植物的方法。药用植物是阿育吠陀医学系统的重要方面。如今,许多药用植物的叶提取物可以治愈各种疾病,并已成为同种疗法药用系统的替代品。因此,本文提出了一种基于植物的叶片特征(例如面积,颜色直方图和边缘直方图)进行识别的方法。用很少的药用植物进行了实验分析,例如芙蓉,贝特尔,罗汉果,白桦,长春花,穆拉亚,积雪草,芸香和薄荷。结果证明该方法是一种简单有效的尝试。

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