Image partitioning on spiral architecture

Qiang Wu, Xiangjian He

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review


Spiral Architecture is a relatively new and powerful approach to image processing. It contains very useful geometric and algebraic properties. Based on the abundant research achievements in the past decades, it is shown that Spiral Architecture will play an increasingly important role in image processing and computer vision. This chapter presents a significant application of Spiral Architecture for distributed image processing. It demonstrates the impressive characteristics of spiral architecture for high performance image processing. The proposed method tackles several challenging practical problems during the implementation. The proposed method reduces the data communication between the processing nodes and is configurable. Moreover, the proposed partitioning scheme has a consistent approach: after image partitioning each sub-image should be a representative of the original one without changing the basic object, which is important to the related image processing operations.

Original languageEnglish
Title of host publicationThe Handbook of Research on Scalable Computing Technologies
PublisherIGI Global
Number of pages33
ISBN (Print)9781605666617
Publication statusPublished - 2009
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


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