{"title":"Efficient techniques for BGA solder joint identification in low resolution X-ray images","authors":"M. Laghari, Raed Hijer, G. A. Khuwaja","doi":"10.1109/IEEEGCC.2011.5752465","DOIUrl":null,"url":null,"abstract":"The benefits of X-ray inspection are broad in scope due to the ability of X-rays to see through packages including: encapsulation, heat sinks, and metallic shielding to reveal obscured connections and identify potential quality nondestructive issues. X-ray inspection is particularly beneficial to applications that involve advanced packaging technologies such as Ball Grid Array (BGA). This paper proposes a method that relies on an image processing and computer vision technique that detects each ball of the X-ray image of BGA chip and flags the suspect balls for further evaluation and rework. It makes use of the basic geometric distinction between a circle (perfect solder ball) and an ellipse (balls with reshaped solder joint). Thus making it easier for the casual user to identify the suspect areas (solder joints) for further evaluation.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE GCC Conference and Exhibition (GCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEEGCC.2011.5752465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The benefits of X-ray inspection are broad in scope due to the ability of X-rays to see through packages including: encapsulation, heat sinks, and metallic shielding to reveal obscured connections and identify potential quality nondestructive issues. X-ray inspection is particularly beneficial to applications that involve advanced packaging technologies such as Ball Grid Array (BGA). This paper proposes a method that relies on an image processing and computer vision technique that detects each ball of the X-ray image of BGA chip and flags the suspect balls for further evaluation and rework. It makes use of the basic geometric distinction between a circle (perfect solder ball) and an ellipse (balls with reshaped solder joint). Thus making it easier for the casual user to identify the suspect areas (solder joints) for further evaluation.