Digital Image ProcessingDigital Image Processing is a third generation book that builds on two highly successful earlier editions and the authors' twenty years of academic and industrial experience in image processing. The book provides an introduction to basic concepts and methodologies for image processing and develops the foundation for further study in this diverse and rapidly evolving field. The topics covered range from enhancement and restoration to image encoding, segmentation, description, recognition, and interpretation. These topics are illustrated by numerous computer-processed images. |
Other editions - View all
Common terms and phrases
algorithm applications approach array axis basic binary image bits boundary camera Chapter code word coefficients color components compression computed convolution coordinates corresponding data compression decoder defined denoted descriptors digital image digital image processing discrete discrete Fourier transform discussed in Section edge encoder entropy Equation error example Figure filter Fourier transform frequency domain gradient gray levels gray-level histogram equalization Hough transform Huffman code IEEE IEEE Trans image compression image processing indicates input intensity inverse layer lowpass mask matrix method node noise object obtained operation original image output pattern classes perceptron pixels plane problem Proc procedure quantization region represent representation rotation samples segmentation sequence shape shown in Fig source symbols spatial spectrum structuring element subimage techniques threshold transfer function variable variable-length code Walsh transform X₁ ÿ ÿ ÿ yields zero Σ Σ