1 July 1986 Image Classification By The Foley-Sammon Transform
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Abstract
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.
Q. Tian, M. Barbero, Zu-Han Gu, Sing H. Lee, "Image Classification By The Foley-Sammon Transform," Optical Engineering 25(7), 257834 (1 July 1986). https://doi.org/10.1117/12.7973916 . Submission:
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