Extraction of discontinuous chains of symbols by means of perceptual grouping
Extraction of discontinuous chains of symbols by means of perceptual grouping
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通过感知分组提取不连续的符号链
DOI：
10.1109/icip.1997.638798
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
A. Mecocci
中科院分区：
文献类型：
--
作者：
P. Gamba;Massimilano Lilla;A. Mecocci
本文提出了一种新算法，该算法应用感知分组来跟踪数字化地图中不连续的符号链。该程序基于人工智能内核，该内核监督三个不同的辅助过程：搜索策略生成模块，负责扫描像素的策略；符号检测模块，提取识别出的符号；成本函数评估模块，考虑线路的整个过程，为每个符号分配全局质量指数。选定的格式塔规则用于优化分组程序。
This paper proposes a new algorithm which applies perceptual grouping to track discontinuous chains of symbols in digitized maps. The procedure is based on an artificial intelligence kernel that supervises three different auxiliary processes: the search strategy generation module, responsible for the strategy to scan pixels; the symbol detection module that extracts the recognized symbols; the cost function evaluation module that assigns a global quality index to each symbol by considering the whole course of the line. Selected Gestalt rules are used to optimize the grouping procedures.