基于SIFT特征匹配的水果识别方法

W. Song, Hong Guo, Yan Wang
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引用次数: 6

摘要

SIFT (Scale Invariant Feature Transform)用于水果识别中,针对水果图像提出了一种特征匹配算法- m。该算法以SIFT特征作为匹配特征,引入欧氏距离作为图像匹配的相似度度量,并采用设置阈值的方法剔除错误的匹配点。实验结果表明,该算法能有效地解决平移、旋转、缩放和部分遮挡的水果识别和拼接问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Fruits Recognition Based on SIFT Characteristics Matching
SIFT (Scale Invariant Feature Transform) used in fruits recognition presents a characteristics matching algorith- m according to fruits images. The algorithm uses SIFT chara- cteristics as matching feature, then introduces Euclidean dis- tance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false match- ing points. The experimental results prove that the algorithm can effectively solve the problem of fruits recognition and mat- ching with translation, rotation, scaling, and partial occlusion.
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