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Model and Computation of Digital Projections
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applications approach autocorrelation backprojection technique backtracing binary image boundary brightfield Chap chip commercially available computer vision contour image convex hull convex hull approximation convex polygons convolution backprojection coordinate-reference image corresponding darkfield detection digital approximation digital image digital objects digital projection data discrete disk-head edge detection efficient example filtered backprojection filtered projections Fourier transform function given gradient image gray levels hardware histogramming horizontal profile Hough transform image analysis image pixel image reconstruction inverse Radon transform look-up table machine vision multiple noise non-iterative non-linear obtained orientation original image parallel parameters patterns performed pipeline architecture pixel pixel coordinates pixel-by-pixel pixels belonging polygonal masks power spectrum problem processor pass Projection Data Collector projection space projection-based purpose image processing Radon space Radon transform random fields raster real-time regions registers representation require Sect segmentation semi-plane shown in Fig shows SIMD slice stage stationary random fields table look-up operation tesselation theorem thresholding