包装学报Issue(1)：54-60,7.DOI:10.3969/j.issn.1674-7100.2015.01.011
基于机器视觉的图像形状特征提取方法研究进展
Research Progress in Shape Feature Extraction Methods Based on Machine Vision
葛杰 1曹晨晨 1李光1
作者信息
- 1. 天津科技大学 包装与印刷工程学院，天津 300222
- 折叠
摘要
Abstract
There are three common shape feature extraction methods based on machine vision including threshold processing method, coutour-based extraction method and region-based extraction method. Threshold processing method is one common method of shape segmentation and extraction and is easy to manipulate with high speed, but it is not suitable for complicated target shape features with high accuracy;Coutour-based extraction method could process with high speed but is more likely to bring about bias or error while dealing with complicated target shape features;Region-based extraction method requires enormous internal memory though it could be easily and accurately implemented to extract shape features. However, the limitation in extraction methods in application is still obvious and it is of significance in developing new extraction method.关键词
机器视觉/阈值处理/轮廓形状特征提取/区域形状特征提取Key words
machine vision/threshold processing method/coutour extraction method/region extraction method分类
信息技术与安全科学引用本文复制引用
葛杰,曹晨晨,李光..基于机器视觉的图像形状特征提取方法研究进展[J].包装学报,2015,(1):54-60,7.
