Digital Image ProcessingAddison-Wesley, 1992 - 716 Seiten Digital 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. |
Inhalt
INTRODUCTION | 1 |
IMAGE TRANSFORMS | 3 |
DIGITAL IMAGE FUNDAMENTALS | 21 |
Urheberrecht | |
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algorithm applications approach approximation arithmetic coding array axis background basic binary image Bit-Plane boundary camera Chapter code word coefficients color components computed concepts convex hull convolution coordinates corresponding decoder defined denoted density descriptors difference digital image digital image processing dilation discrete discrete Fourier transform discussed in Section edge encoder entropy Equation erosion error example Figure filter Fourier transform function gradient gray levels gray-level gray-scale histogram histogram equalization Hough transform Huffman code image compression image processing indicates integer intensity inverse Laplacian mask matrix method node noise object obtained operation original image output pattern pixels probability probability density function problem procedure properties quantization redundancy reference region represent representation rotation samples segmentation sequence shape shown in Fig source symbols spatial spectrum structuring element subimage techniques threshold variable variable-length code vector X₁ yields zero Σ Σ