并行集中-轮廓方法的VLSI架构

Q4 Computer Science
Y. Tang, X. Cheng, L. Tao, C. Suen, M. Talaat, R. Inglese
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引用次数: 3

摘要

提出了一种浓度-轮廓法。它将复合图形转换为可以使用轮廓分析的积分图形。浓度-轮廓法包括四个阶段:(1)模式集中,(2)轮廓提取,(3)数值特征变换,(4)分类。采用对角线-对角线区域投影变换(DDRPT),将复合图形转换为整体对象。设计了一种实现集中轮廓方法的VLSI体系结构。该方法的时间复杂度仅为0 (N),而使用单处理器时为0 (N/sup 2/)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VLSI architecture for parallel concentration-contour approach
A method called concentration-contour method is presented. It transforms a compound pattern into an integral one where contour analysis can be used. The concentration-contour method consists of four phases: (1) concentration of pattern, (2) extraction of contour, (3) transformation of numerical features, and (4) classification. The diagonal-diagonal regional projection transformation (DDRPT), which converts a compound pattern into an integral object, has been used. A VLSI architecture to implement the concentration-contour approach has been designed. The time complexity of the method is only O(N) compared with O(N/sup 2/) when a uniprocessor is used.<>
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来源期刊
模式识别与人工智能
模式识别与人工智能 Computer Science-Artificial Intelligence
CiteScore
1.60
自引率
0.00%
发文量
3316
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