Sinopsis
Although this book is concerned primarily with digital, as opposed to analog, image processing techniques. It should be remembered that most digital images represent continuous natural images. Exceptions are artificial digital images such as test patterns that are numerically created in the computer and images constructed by tomographic systems. Thus, it is important to understand the “physics” of image formation by sensors and optical systems including human visual perception. Another important consideration is the measurement of light in order quantitatively to describe images. Finally, it is useful to establish spatial and temporal characteristics of continuous image fields which provide the basis for the interrelationship of digital image samples. These topics are covered in the following chapters.
Content
- CONTINUOUS IMAGE CHARACTERIZATION
- Continuous Image Mathematical Characterization
- Psychophysical Vision Properties
- Photometry and Colorimetry
- DIGITAL IMAGE CHARACTERIZATION
- Image Sampling and Reconstruction
- Discrete Image Mathematical Representation
- Image Quantization
- DISCRETE TWO-DIMENSIONAL LINEAR PROCESSING
- Superposition and Convolution
- Unitary Transforms
- Linear Processing Techniques
- IMAGE IMPROVEMENT
- Image Enhancement
- Image Restoration Models
- Point and Spatial Image Restoration Techniques
- Geometrical Image Modification
- IMAGE ANALYSIS
- Morphological Image Processing
- Edge Detection
- Image Feature Extraction
- Image Segmentation
- Shape Analysis
- Image Detection and Registration
- IMAGE PROCESSING SOFTWARE
- PIKS Image Processing Software
- PIKS Image Processing Programming Exercises
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