CAJ | 학술논문

为了提高马铃薯高光谱图像的滤波效果，降低马铃薯外部损伤检测模型的错误率和误判率，采用小波递推最小二乘滤波算法对马铃薯高光谱图像进行去噪。该算法先对经过主成分分析的马铃薯高光谱图像进行4尺度的小波变换，并将得到的二维小波变换系数集成为一个单一的一维重构向量，利用此向量的系数重构分辨率更高的图像，再将经过小波逆变换的图像使用递推最小二乘滤波算法进行滤波，得到结果图像；同时与改变噪声类型的滤波效果、采用维纳滤波和递推最小二乘滤波算法对马铃薯高光谱图像的滤波效果进行对比。结果表明：该滤波算法对高斯和椒盐噪声均具有良好的滤波效果；与采用维纳滤波算法和递推最小二乘滤波算法相比，滤波效果明显，对提高马铃薯外部损伤检测模型的正确率和识别率具有促进作用。
위료제고마령서고광보도상적려파효과，강저마령서외부손상검측모형적착오솔화오판솔，채용소파체추최소이승려파산법대마령서고광보도상진행거조。해산법선대경과주성분분석적마령서고광보도상진행4척도적소파변환，병장득도적이유소파변환계수집성위일개단일적일유중구향량，이용차향량적계수중구분변솔경고적도상，재장경과소파역변환적도상사용체추최소이승려파산법진행려파，득도결과도상；동시여개변조성류형적려파효과、채용유납려파화체추최소이승려파산법대마령서고광보도상적려파효과진행대비。결과표명：해려파산법대고사화초염조성균구유량호적려파효과；여채용유납려파산법화체추최소이승려파산법상비，려파효과명현，대제고마령서외부손상검측모형적정학솔화식별솔구유촉진작용。
In order to improve the filtering effect of potato hyperspectral image,and reduce potato ex-ternal damage model error rate and erroneous recognition,thus using wavelet and recursive least squares filtering algorithm for potato hyperspectral image to de-noising.The fundamental principle is that potato hyperspectral image through principal component analysis make use of 4 scale wavelet transform to process,and then the resulting of two-dimensional wavelet transform coefficients integrate into a single one-dimensional reconstruction vectors,and get higher resolution image.Finally,the inverse wavelet trans-form image use recursive least squares algorithm to filter.At the same time compared filtering effect with different noise,and wiener and recursive of least square filter algorithm for potato hyperspectral image.Ex-perimental results showed that it had good filtering effect for the added Gaussian and salt and pepper noise of potato hyperspectral image.Compared filtering effect with wiener filter algorithm and recursive of least square filter algorithm,the filtering effect of the algorithm was obvious,which improve potato external damage detection model accuracy and recognition rate.