{"title":"在目视检测系统中发现物体的位置和面积","authors":"E. da Silva, A. Gonzaga","doi":"10.1109/CYBVIS.1996.629446","DOIUrl":null,"url":null,"abstract":"The aim of this work, is the application of the Hough transform (HT) method for automated visual inspection of rectangular boards. Filtering the accumulator array we can extract features such as position (mass center), perimeter and area, despite object translation and rotation. The results reached by this methods are evaluated by comparing them with the method of moments (MM), a largely used method to determine the area and center of mass for bi-directional images. Statistical analysis shows the robustness of Hough transform for noisy images in visual inspection.","PeriodicalId":103287,"journal":{"name":"Proceedings II Workshop on Cybernetic Vision","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Finding the position and area of an object in a visual inspection system\",\"authors\":\"E. da Silva, A. Gonzaga\",\"doi\":\"10.1109/CYBVIS.1996.629446\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this work, is the application of the Hough transform (HT) method for automated visual inspection of rectangular boards. Filtering the accumulator array we can extract features such as position (mass center), perimeter and area, despite object translation and rotation. The results reached by this methods are evaluated by comparing them with the method of moments (MM), a largely used method to determine the area and center of mass for bi-directional images. Statistical analysis shows the robustness of Hough transform for noisy images in visual inspection.\",\"PeriodicalId\":103287,\"journal\":{\"name\":\"Proceedings II Workshop on Cybernetic Vision\",\"volume\":\"2013 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings II Workshop on Cybernetic Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBVIS.1996.629446\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings II Workshop on Cybernetic Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBVIS.1996.629446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finding the position and area of an object in a visual inspection system
The aim of this work, is the application of the Hough transform (HT) method for automated visual inspection of rectangular boards. Filtering the accumulator array we can extract features such as position (mass center), perimeter and area, despite object translation and rotation. The results reached by this methods are evaluated by comparing them with the method of moments (MM), a largely used method to determine the area and center of mass for bi-directional images. Statistical analysis shows the robustness of Hough transform for noisy images in visual inspection.
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