Digital Image Processing

Издательство Prentice Hall, 1996, -667 pp. This broad introduction to the fundamental concepts of digital imaging shows how the various techniques can be applied to solve real-world problems (e.g., in biology, astronomy, forensics, etc.). It helps readers develop the insight required to use the tools of digital imaging to solve new problems. Discusses color, image compression, user interfaces, software development project management, 2-D graphs of Fourier Transforms, analysis of digital imaging systems performance, optics, pattern recognition, image recording and display, CCD cameras. Images and Digital Processing Digitizing Images Digital Image Display Image-Processing Software Gray-Level Histogram Point Operations Algebraic Operations Geometric Operations Linear System Theory The Fourier Transform Filter Design Processing Sampled Data Discrete Image Transforms Wavelet Transforms Optics and System Analysis Image Restoration Image Compression Pattern Recognition: Image Segmentation Pattern Recognition: Object Measurement Pattern Recognition: Classification and Estimation Color and Multispectral Image Processing Three-Dimensional Image Processing