Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30597
Title: Parallel high-level image processing on a standard PC
Authors: Ercan, MF
Fung, YF
Issue Date: 2003
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2003, v. 2667, p. 752-760 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Streaming SIMD Extensions (SSE) is a unique feature embedded in the Pentium III and Pentium IV classes of microprocessors. By fully exploiting SSE, parallel algorithms can be implemented on a standard personal computer and a significant speedup can be achieved comparing to sequential code. PCs, mainly employing Intel Pentium processors, are the most commonly available and inexpensive solutions to many applications. Therefore, the performance of SSE in common image and signal processing algorithms has been studied extensively in the literature. Nevertheless, most of the studies concerned with low-level image processing algorithms, which involves pixels in pixels out type of operations. In this paper, we study higher-level image processing algorithms where image features and recognition is the output of the operations. Hough transform and Geometric hashing techniques are commonly used algorithms for this purpose. Here, their implementation using SSE are presented.
URI: http://hdl.handle.net/10397/30597
ISSN: 0302-9743
EISSN: 1611-3349
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