基于多分类器的番茄图像分类与评价

2009 International Association of Computer Science and Information Technology - Spring Conference Pub Date : 2009-04-17 DOI:10.1109/IACSIT-SC.2009.47

Hassan Asadollahi, Morteza Sabery Kamarposhty, M. M. Teymoori

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引用次数: 13

摘要

本文的目标是利用图像处理技术对番茄进行分类。本文使用的数据与90幅番茄图像有关。我们利用机器视觉技术从90幅图像中提取了10个特征。我们评估在考虑图像中接受的结果。我们还使用不同的分类方法对这些数据进行分类，然后进行比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Classification and Evaluation of Tomato Images Using Several Classifier

The goal of this paper is tomato classification by images processing. Data was used in this paper in related to 90 images of tomato. We extract 10 features from 90 images by machine vision technique. We evaluate results that accepted in considered images. Also we have classified these data using different classification methods and then compare them.

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2009 International Association of Computer Science and Information Technology - Spring Conference

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