计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
8期
247-250
,共4页
织物起球%客观评价%Log-Gabor滤波器%支持向量机%特征提取
織物起毬%客觀評價%Log-Gabor濾波器%支持嚮量機%特徵提取
직물기구%객관평개%Log-Gabor려파기%지지향량궤%특정제취
fabric pilling%objective rating%Log-Gabor filter%Support Vector Machine(SVM)%feature extraction
作为传统Gabor小波的一种改进，Log-Gabor滤波器在机器视觉领域已经得到广泛的应用，利用Log-Gabor滤波器的特性结合主成分分析（PCA）与支持向量机（SVM）对织物起球的等级进行客观评价。针对Log-Gabor特征的高维问题，改进了传统的特征提取方法，提高了实验的计算效率，减少了运行时间。通过与Gabor小波的实验结果比较，该方法可以有效捕捉起球信息，最高正确识别率达到了95%。
作為傳統Gabor小波的一種改進，Log-Gabor濾波器在機器視覺領域已經得到廣汎的應用，利用Log-Gabor濾波器的特性結閤主成分分析（PCA）與支持嚮量機（SVM）對織物起毬的等級進行客觀評價。針對Log-Gabor特徵的高維問題，改進瞭傳統的特徵提取方法，提高瞭實驗的計算效率，減少瞭運行時間。通過與Gabor小波的實驗結果比較，該方法可以有效捕捉起毬信息，最高正確識彆率達到瞭95%。
작위전통Gabor소파적일충개진，Log-Gabor려파기재궤기시각영역이경득도엄범적응용，이용Log-Gabor려파기적특성결합주성분분석（PCA）여지지향량궤（SVM）대직물기구적등급진행객관평개。침대Log-Gabor특정적고유문제，개진료전통적특정제취방법，제고료실험적계산효솔，감소료운행시간。통과여Gabor소파적실험결과비교，해방법가이유효포착기구신식，최고정학식별솔체도료95%。
As an improvement of the traditional Gabor wavelet, the Log-Gabor filter has been widely used in the field of machine vision. This paper proposes a new method of rating the fabric pilling objectively using the characteristics of Log-Gabor filter combined with Principal Component Analysis(PCA)and Support Vector Machine(SVM). For the high dimensional problem of Log-Gabor features, this paper improves the traditional feature extraction methods, which can improve the computation efficiency and reduce the running time. Compared with the experimental results of Gabor wavelet, this method can effectively capture the pilling information. The highest correct recognition rate is 95%.
