Digital Image Processing (MATLAB Version)

Author: (USA) Gonzalez et al.
Publisher:
Publish Date: 2004-05-01
Features: The feature of this book lies in its emphasis on how to enhance these software tools by developing new code. To achieve satisfactory problem-solving methods, it is necessary to broaden experimental work, which is very important in image processing. After introducing the basic knowledge of MATLAB programming, this book covers the core content of image processing, including: grayscale transformation, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, region and boundary representation and description, as well as target recognition.