عنوان	Advances in Image Processing Applications for Assessing Leafy Materials
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Herbs, Medicinal plants, Aromatic plants, Leaf, Machine vision, Digital image processing
چکیده	Leafy materials are produced from agricultural crops and forestry plants that have important role in human life and environment. Expert-based assessment of leafy materials by humans is time consuming, expensive, and difficult and is sample-destructive task in some cases. Image processing has different applications through simulating vision sense of humans to assess color, textural, and morphological characteristics of objects and can be further enhanced by utilizing spectra beyond human visible range. It is considered as a beneficial and practical tool due to its high speed, accuracy, and repeatability and also it is a low cost and nondestructive technique compared to expert-based assessments. The goal of this paper is to review the advances of image processing applications for assessing the leafy materials including herbs, aromatic, and medicinal plants.
پژوهشگران	کامران خیرعلی پور (نفر اول)، دیگویر اس جایاس (نفر دوم)