Sinopsis
When engineers or scientists refer to an image, they are typically speaking of an optical representation of a scene acquired using a device consisting of elements excited by some light source. When this scene is illuminated by a light source, these elements subsequently emit electrical signals that are digitized to form a set of "picture elements" or pixels. Together these pixels make up a digital image. Many of these devices are now driven by Digital Signal Processors, for reasons explained in 1.6. The imaging device may take the form of a camera, where a photographic image is created when the objects in the scene are illuminated by a natural light source such as the sun, or an artificial light source, such as a flash. Another example is an x-ray camera, in which case the "scene" is typically some portion of the human body or a dense object (e.g., luggage in an airport security system), with the light source consisting of x-ray beams. There are many other examples, some of which do not typically correspond to what most people think of as an image. For example, in the life sciences and biomedical fields there are numerous devices and instruments that can be thought of as cameras in some sense, where the acquisition detectors are photodiodes excited by some type of infrared light. This book describes image processing algorithms that operate on all sorts of images, and provides numerous implementations of such algorithms targeting the Texas Instruments (TI) TMS320C6000™ DSP platform. Prior to embarking on this journey, this first chapter introduces the structure of the book and the representation of digital images, and the second chapter provides background information on the tools used to develop image processing algorithms.
Content
- Introduction
- Tools
- Spatial Processing Techniques
- Image Filtering
- Edge Detection and Segmentation
- Wavelets
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