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Conditions of high and low optic flow were generated in a display used for a driving simulator. Thirty drivers were requested to produce vehicle speeds of either 30 or 60 mph with the geometric field of view at 25, 55, or 85 visual degrees. Drivers overestimated the production of 30 by 20 mph. It was also found that the production of speed was highly(More)
Principal component analysis (PCA) guided clustering approach is widely used in high dimensional data to improve the efficiency of K-means cluster solutions. Typically, Pearson correlation is used in PCA to provide an eigen-analysis to obtain the associated components that account for most of the variations in the data. However, PCA based Pearson(More)
Edge detection has been widely used especially in medical image processing field. In this paper we are comparing Sobel, Prewitt and Laplacian of Gaussian (LoG) edge detection techniques in segmenting the boundary of microcalcifications. The edge detection must satisfy the breast phantom scoring criteria before the segmentation phase is carried out. Then,(More)
In a simulated driving scenario, we investigated the production of vehicle velocity at 30 and 60 mph while varying the amount of optical flow (roadside trees versus no trees) and the geometric field of view (25, 55, and 85 horizontal degrees). Participant drivers were significantly less accurate in producing vehicle velocities of 30 mph as contrasted with(More)
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