Parallel Processing Methodologies for Image Processing and Computer Vision

Publisher Summary This chapter highlights parallel processing methodologies for image processing and computer vision. Providing machines with comparable visual capabilities is the goal of modern computer vision. However, a major obstacle in the development and widespread use of computer vision has been the enormous data throughput and processing requirements. Parallel processing has been perceived as the solution, and this perception has led to the conception, design, and the subsequent analysis of a number of parallel architectures for image processing and computer vision. The chapter also discusses the characteristics of image processing and computer vision algorithms and outlines the essential elements of both the architecture- and application-driven methodologies. It reviews image processing as a prelude to computer vision. Image processing algorithms operate on images, extracting and representing scene information. Therefore, in this chapter, the term “computer vision” is implicitly assumed to include the lower-level functions of image processing. The chapter provides an overview of the future of parallel processing and examines emerging areas of research that can affect the development of parallel processing methodologies for computer vision.

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