腰果核面积估计的计算机视觉系统

Narendra V G, Dasharathraj K. Shetty, Dr Hareesh
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引用次数: 5

摘要

人工进行食品和农产品质量检验是一项繁重的工作。由于人为错误,不可能保持一致的产品质量。客户的期望日益提高,对产品质量的要求越来越高。然而,在印度,食品和农产品的检验在大多数情况下是手工完成的。目前,计算机视觉领域的工作正在广泛开展,以提供自动化、非破坏性和成本效益高的技术来实现这一目标。计算机视觉将图像处理作为实现最终目标的中介工具之一。腰果是印度重要的经济作物之一。本研究的目的是提供一种精确且相对误差最小的腰果仁尺寸(即长度和宽度/高度)的图像处理方法。
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Computer Vision system for cashew kernel area estimation
Carrying out Food and Agricultural product Quality Inspection manually is a laborious task. Maintaining consistent product quality is not possible due to human errors. Customer expectations are increasing day by day and seek products of high quality. However, in India the Inspection of Food and Agricultural produce is done manually in most of the cases. Work in the Computer Vision area is being extensively carried out these days to provide automated, non-destructive and cost-effective techniques to achieve this. Computer Vision uses Image processing as one of the intermediary tools to achieve the ultimate objective. Cashew is one of the important commercial crops of India. The objective of this research is to provide an image processing method for measuring cashew kernel Size (i.e. length and width/height) with an accurate and smallest relative error.
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