Computer Image Processing and RecognitionImage formation and perception. Representation. Ebhancement and restoration. Reconstruction from projections. Digital television, encoding, and data compression. Scene understanding. Scene matcching and recognition. |
Contents
Introduction | 1 |
Image Formation and Perception | 8 |
Computer Representation of Images | 76 |
Copyright | |
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applications approach assumed average called channel characteristics clusters coding color complex components computed considered contrast coordinates correlation corresponding defined density described determine developed direction discrete distance distortion distribution edge effect elements enhancement equal equation error estimate example Figure filter Fourier transform frequency function given gray level Hall histogram human IEEE Trans illustrated important intensity invariant inverse light linear luminance mapping matching matrix mean measure method noise Note object observed obtained operation optical original pattern picture plane position possible probability problem Proc produce projection properties quantization random Recognition reconstruction region represent response restoration sampled scene segmentation sequence shown in Fig signal simple solution spatial squared Table techniques theory threshold tion two-dimensional values vector viewing visual York