AUTOMATED X-RAY INSPECTION OF ALUMINUM CASTINGS

被引：46
作者：
BOERNER, H
STRECKER, H
机构：
[1] Philips GmbH, Hamburg, West Ger, Philips GmbH, Hamburg, West Ger
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1988年 / 10卷 / 01期
关键词：
IMAGE PROCESSING - Image Analysis - NONDESTRUCTIVE EXAMINATION - Imaging Techniques;
D O I：
10.1109/34.3869
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The experience gained with several approaches to automatic flaw detection in X-ray images of cast aluminum wheels is described. Basic problems are mentioned, and the applicability of segmentation methods to actual inspection tasks is demonstrated. The discussion focuses on the definition, extraction, and combination of local features for pixel classification. Results of recent pilot tests are described briefly. Further investigations are suggested, aiming at more generality of the methods and greater stability of the segmentation.
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页码：79 / 91
页数：13
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