Image Classification By The Foley-Sammon Transform
Qing Tian, Marzio Barbero, Zu-Han Gu, Sing H. Lee · Optical Engineering · 1986
Application of the Foley-Sammon transform to image classification is discussed. The computing procedures of the transform are presented for the case in which the total number of training images (M) is smaller than the dimension of the images to be classified (N). A set of computer simulation results shows that the Foley-Sammon transform provides good classification performance and that a proper number of training images is essential to ensure a low error rate of classification.