Fruit defect detection based on speeded up robust feature technique

机译：基于加速鲁棒特征技术的水果缺陷检测

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This paper elaborated the fruit quality detection technique which was based on external properties of fruits such as shape, size and color. Due to large demand, manual monitoring of fruits are ineffectual for agriculture industry. So, it requires a competent technique which will help agriculture industry to full fill the demand of consumer. The proposed method is based on the use of speeded up robust feature. The method extracts the local feature of the segmented image and describes the object recognition. The objective is to design the defect detection algorithm which will be used for feature extraction and descriptor having less processing time.

机译：本文阐述了基于水果的外部特性，如形状，大小和颜色的水果质量检测技术。由于需求量大，人工监测水果对农业行业无效。因此，它需要一种能胜任技术的方法，这将有助于农业工业完全满足消费者的需求。所提出的方法基于加速的鲁棒特征的使用。该方法提取分割图像的局部特征并描述对象识别。目的是设计缺陷检测算法，该算法将用于特征提取和具有较少处理时间的描述符。

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《International Conference on Reliability, Infocom Technologies and Optimization》|2016年|590-594|共5页
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Yogesh; Ashwani Kumar Dubey;
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关键词
Feature extraction; Image color analysis; Robustness; Market research; Image segmentation; Agriculture;

机译：特征提取;图像颜色分析;稳健性;市场研究;图像分割;农业;

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Fruit defect detection based on speeded up robust feature technique

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