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Vision based classification of fresh fruits using fuzzy logic

机译:基于视觉的新鲜水果分类的模糊逻辑

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The paper presents a computer vision based system for automatic grading and sorting of agricultural products. The application of machine vision based system, aimed to replace manual based technique for grading and sorting of fruit. The manual examination makes issues in maintaining consistency in grading and sorting. In this research work, a method for sorting and grading of agricultural products like fruits has been proposed. The proposed system starts with catching the fruit's picture utilizing a digital camera. The acquired picture is then processed by using image processing, sorted and grading using methods of fuzzy logic. The classification of fruit is depending upon the object size and shape. Similar shape-size fruit misclassification can reduce by utilizing extra image features, for example, texture and colour. The results obtained are very promising.
机译:本文提出了一种基于计算机视觉的农产品自动分级和分类系统。基于机器视觉的系统的应用,旨在取代基于人工的水果分级和分类技术。手动检查在保持分级和排序的一致性方面存在问题。在这项研究工作中,提出了一种对水果等农产品进行分类和分级的方法。提出的系统首先使用数码相机拍摄水果的图片。然后,通过使用图像处理,模糊逻辑方法对所获取的图片进行处理,分类和分级。水果的分类取决于物体的大小和形状。通过利用额外的图像特征(例如纹理和颜色),可以减少相似形状大小的水果分类错误。获得的结果非常有希望。

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