基于图象集合运算的矿图扫描图象二值化方法

盛业华; 郭达志

doi:10.11834/jig.1998012291

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专辑

基于图象集合运算的矿图扫描图象二值化方法
Binarization Approach for Scanned Mine Maps Based on Set Operations of Binary Images
1998年3卷第12期页码：1015
纸质出版：1998
DOI： 10.11834/jig.1998012291
稿件说明：

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盛业华, 郭达志. 基于图象集合运算的矿图扫描图象二值化方法[J]. 中国图象图形学报, 1998,3(12):1015. DOI： 10.11834/jig.1998012291.

Binarization Approach for Scanned Mine Maps Based on Set Operations of Binary Images[J]. Journal of Image and Graphics, 1998, 3(12): 1015. DOI： 10.11834/jig.1998012291.

摘要

在分析了多种类型的图象二值化方法在矿图扫描图象分割中存在的问题后，依据图象的集合运算原理，提出了一种兼顾图象整体灰度水平及象元邻域特征的二值化方法——多阈值动态自适应二值化方法。该方法可克服矿图扫描图象二值化过程中出现的线划粘连或断线现象，且方法简单、容易实现。

Abstract

Image binarization is one of the key steps in scanning digitizing of mining maps. Binarization result directly affects the efficiency and precision of consequent vector reconstruction. After the analysis of various kinds of image binarization algorithms in the processing of scanned mining maps

we bring forward a new image binarization method based on set operation of binary images

which is named as Dynamic Adaptive Binarization with Multi Thresholds. This approach can take into account the gray levels of the whole frame and the neighborhood feature of the pixels simultaneously. With this method

Image binarization is easy and fast

and it can get rid of adhesion and rupture of the lines in the scanned maps.