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基于K均值聚类的绿色苹果识别技

, PP. 100-104

Keywords: 苹果,机器视觉,图像识别,K-均值,间隙统计

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Abstract:

针对颜色和背景相近的绿色苹果,提出了一种基于K-均值聚类的苹果图像识别算法。该算法以8×8像素的正方形区域为分割单位。选择颜色差R-B作为颜色特征,选择灰度均值m,标准偏差σ和熵e作为纹理特征,形成特征向量空间。采用间隙统计法确定苹果图像的最佳聚类数。将特征向量空间和最佳聚类数作为输入,运用本文算法对苹果图像进行聚类和分割。对200幅图像识别实验结果表明,在顺光和逆光情况下,算法均能实现果实与背景的有效分割,果实识别的正确率高于

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