Apple Defect Segmentation by Artificial Neural Networks
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چکیده
This paper presents a defect segmentation work for bi-colored apple fruits performed by several artificial neural networks. Pixel-wise classification approach is employed to realize segmentation. Quantitative and qualitative evaluations showed that competitive networks were more erroneous while feed-forward and recurrent networks tested were more accurate in segmenting apple defects.
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تاریخ انتشار 2006