Developing a framework for fruits detection from images

Md. Shaddam Hossen, M. Arefin, Rezaul Karim
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引用次数: 3

Abstract

In this paper, we present a method for the detection of fruits from images. Several fruits detection techniques have been developed based on colour and shape values. However, different object images may have similar or identical colour and shape. Therefore, using only colour and shape features are not efficient enough for fruits detection. Considering this fact, in this paper, we propose a method using colour, shape and texture for detecting objects from images. We performed several experiments using fruits images and found that our system can almost accurately detect fruits types from images.
开发从图像中检测水果的框架
本文提出了一种从图像中检测水果的方法。几种基于颜色和形状值的水果检测技术已经发展起来。然而,不同的物体图像可能具有相似或相同的颜色和形状。因此,仅使用颜色和形状特征是不够有效的水果检测。考虑到这一点,本文提出了一种基于颜色、形状和纹理的图像目标检测方法。我们使用水果图像进行了几次实验,发现我们的系统几乎可以准确地从图像中检测水果类型。
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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