{"title":"A mixture distribution for the wire bonding image","authors":"N. Noor, O. M. Rijal, O. Badar, P. Thon","doi":"10.1109/ISSPA.2001.950230","DOIUrl":null,"url":null,"abstract":"As a measure of quality for wire bonding, the degree of formation of intermetallics between gold ball and aluminium bond pad was estimated. A digital colour circle image of the surface of the gold ball that was attached to the bond pad was obtained. The resultant image had to be modelled by a three component mixture model proposed by Noor, Rijal, Badar and Thon, (see IEEE TENCON 2000, Kuala Lumpur, p.1299-1304, September 2000), but was shown to be a bad fit. We show that digitizing the polygon image in grey level resulted in a simpler image histogram, which could be model by a two-component mixture model. As an additional method of determining cut-off points between the 'humps' in the mixture model, line profiles of the image were studied.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"722 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.950230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
As a measure of quality for wire bonding, the degree of formation of intermetallics between gold ball and aluminium bond pad was estimated. A digital colour circle image of the surface of the gold ball that was attached to the bond pad was obtained. The resultant image had to be modelled by a three component mixture model proposed by Noor, Rijal, Badar and Thon, (see IEEE TENCON 2000, Kuala Lumpur, p.1299-1304, September 2000), but was shown to be a bad fit. We show that digitizing the polygon image in grey level resulted in a simpler image histogram, which could be model by a two-component mixture model. As an additional method of determining cut-off points between the 'humps' in the mixture model, line profiles of the image were studied.
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