Issue No. 04 - April (1982 vol. 4)
Firooz A. Sadjadi , Department of Electrical Engineering, University of Tennessee, Knoxville, TN 37916.
A comparison of four separability measures which are useful in the registration of two-dimensional images is presented. Bayes probability of error, Chernoff bound, Bhattacharyya bound, and Fisher's criteria are used in the selection of the appropriate reference images from a set of aerial pictures, each exhibiting a different view of a scene, i.e., down-looking and target-looking. The experiment is repeated for corresponding synthetic images of this scene. Both area and edge correlations are used. A comparison of the measures and the resulting probabilities of error is made. The results show that for real images the target-looking view performs better than the down-looking view for both area and edge correlations. For synthetic images, the down-looking view performs better than the target-looking view for both area and edge correlations. The variation in synthetic images between the target-looking and the down-looking views is larger than in the real images for both area and edge correlations.
F. A. Sadjadi, "Performance Evaluations of Correlations of Digital Images Using Different Separability Measures," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 4, no. , pp. 436-441, 1982.