{"title":"基于标准差滤波和支持向量机的印制板图像分割的初步研究","authors":"Shogo Eda, H. Takizawa","doi":"10.23919/ICEP55381.2022.9795430","DOIUrl":null,"url":null,"abstract":"It is necessary to detect defect parts on printed wiring boards (PWBs). This paper proposes a segmentation method of PWB images by use of a standard deviation filter and patch-based support vector machine. The proposed method was applied to actual PWB images, and several results were shown.","PeriodicalId":413776,"journal":{"name":"2022 International Conference on Electronics Packaging (ICEP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preliminary Study on Segmentation of Printed Wiring Board Images by use of Standard Deviation Filter and SVM\",\"authors\":\"Shogo Eda, H. Takizawa\",\"doi\":\"10.23919/ICEP55381.2022.9795430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is necessary to detect defect parts on printed wiring boards (PWBs). This paper proposes a segmentation method of PWB images by use of a standard deviation filter and patch-based support vector machine. The proposed method was applied to actual PWB images, and several results were shown.\",\"PeriodicalId\":413776,\"journal\":{\"name\":\"2022 International Conference on Electronics Packaging (ICEP)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Electronics Packaging (ICEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICEP55381.2022.9795430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Electronics Packaging (ICEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICEP55381.2022.9795430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preliminary Study on Segmentation of Printed Wiring Board Images by use of Standard Deviation Filter and SVM
It is necessary to detect defect parts on printed wiring boards (PWBs). This paper proposes a segmentation method of PWB images by use of a standard deviation filter and patch-based support vector machine. The proposed method was applied to actual PWB images, and several results were shown.
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