论文信息 - Application Of Principal Component Analysis To The Inspection Of Industrial Goods

Application Of Principal Component Analysis To The Inspection Of Industrial Goods

A new method for the inspection of textile webs is proposed. The normal web structure is characterized by the micro-texture of 3x3 neighbourhoods which is extracted by principal components. Local 'rectification' of principal component images yields feature planes which can be fed to a classificator. Preliminary results are presented.

Frank Ade | F. Ade

[1] Hiroyasu Koshimizu,et al. Fundamental Study On Automatic Fabric Inspection By Computer Image Processing , 1979, Other Conferences.

[2] Len Kirvida. Texture Measurements for the Automatic Classification of Imagery , 1976, IEEE Transactions on Electromagnetic Compatibility.

[3] K. Laws. Textured Image Segmentation , 1980 .

[4] Hampapuram K. Ramapriyan,et al. Use of textural features in the analysis of landsat images , 1899, AFIPS National Computer Conference.

[5] F. Ade,et al. Characterization of textures by ‘Eigenfilters’ , 1983 .