基于小波与模糊相融合的苹果分级算法

为了准确获取苹果图像的边缘,实现苹果自动分级,提出一种基于小波与模糊相融合的苹果分级算法。对苹果图像进行全向小波变化,经模糊算法处理,通过自适应阈值,提取出苹果图像的边缘,再利用漫水填充算法,获取苹果图像的面积,根据苹果类圆特性,将面积转换为直径,并根据直径大小,完成苹果分级。仿真试验结果表明,该算法对3个级别苹果的分级正确率均在98%以上,说明该算法能够用于苹果的分级检测。

Research on apple classification algorithm based on wavelet and fuzzy

An apple classification algorithm based on wavelet and fuzzy is proposed in order to get the edge of apple image accurately and realize apple automatic classification. Firstly, the apple image is transformed by omnidirectional wavelet, and then processed by fuzzy algorithm. The edge of the apple image is extracted by adaptive threshold, and then the area of the apple image is obtained by using the diffuse filling algorithm. Finally, according to the characteristics of the apple quasi circle, the area is transformed into the straight diameter, and the apple classification is completed according to the diameter. The simulation results show that the accuracy of the algorithm is more than 98% for three grades of apples, which shows that the algorithm can be used in the classification detection of apples.