{"title":"基于小波变换的多尺度轴类零件图像边缘检测与测量","authors":"Ji Ge, Yaonan Wang, Bowen Zhou, Hui Zhang","doi":"10.1109/PACIIA.2008.69","DOIUrl":null,"url":null,"abstract":"Multi-scale edge detection method was demonstrated, also detailed algorithms, flow chart were put forward, shaft partspsila image as an example in this article. The algorithms resolve two problems existing in the first generation multi-scale edge detection, the demerits were edge defined only considering its irregularity and difficult selection of filtering scale. More satisfied edge detection results can be got applying wavelet transformationspsila regularity under different scales or the same scale. To realize image measurement, system calibration is the key factor, which ascertains the detection accuracy. Detection experiments are carried out to compare between the traditional operators and proposed algorithm, real dimension lengths of the shaft parts are calculated with the calibrated coefficient.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-Scale Shaft Parts Image Edge Detection and Measurement Based on Wavelet Transform\",\"authors\":\"Ji Ge, Yaonan Wang, Bowen Zhou, Hui Zhang\",\"doi\":\"10.1109/PACIIA.2008.69\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-scale edge detection method was demonstrated, also detailed algorithms, flow chart were put forward, shaft partspsila image as an example in this article. The algorithms resolve two problems existing in the first generation multi-scale edge detection, the demerits were edge defined only considering its irregularity and difficult selection of filtering scale. More satisfied edge detection results can be got applying wavelet transformationspsila regularity under different scales or the same scale. To realize image measurement, system calibration is the key factor, which ascertains the detection accuracy. Detection experiments are carried out to compare between the traditional operators and proposed algorithm, real dimension lengths of the shaft parts are calculated with the calibrated coefficient.\",\"PeriodicalId\":275193,\"journal\":{\"name\":\"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACIIA.2008.69\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACIIA.2008.69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Scale Shaft Parts Image Edge Detection and Measurement Based on Wavelet Transform
Multi-scale edge detection method was demonstrated, also detailed algorithms, flow chart were put forward, shaft partspsila image as an example in this article. The algorithms resolve two problems existing in the first generation multi-scale edge detection, the demerits were edge defined only considering its irregularity and difficult selection of filtering scale. More satisfied edge detection results can be got applying wavelet transformationspsila regularity under different scales or the same scale. To realize image measurement, system calibration is the key factor, which ascertains the detection accuracy. Detection experiments are carried out to compare between the traditional operators and proposed algorithm, real dimension lengths of the shaft parts are calculated with the calibrated coefficient.