학술논문
Extraction of discontinuous chains of symbols by means of perceptual grouping
Document Type
Conference
Author
Source
Proceedings of International Conference on Image Processing Image processing Image Processing, 1997. Proceedings., International Conference on. 2:422-425 vol.2 1997
Subject
Language
Abstract
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.