{"title":"基于特征提取的木板表面缺陷分类","authors":"M.G. de Andrade, A. Gonzaga","doi":"10.1109/CYBVIS.1996.629461","DOIUrl":null,"url":null,"abstract":"The aim of this work is to apply spatial gray level dependence method (SGLDM) for feature extraction of wooden boards. Those boards are used in industrial process of pencil production. The texture shows the board quality in respect of nodes, stripes, and defects that causes rejection in the product quality control. The results are discussed and the potential application in an industrial plant is evaluated.","PeriodicalId":103287,"journal":{"name":"Proceedings II Workshop on Cybernetic Vision","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Feature extraction for defect classification in surfaces of wooden boards\",\"authors\":\"M.G. de Andrade, A. Gonzaga\",\"doi\":\"10.1109/CYBVIS.1996.629461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this work is to apply spatial gray level dependence method (SGLDM) for feature extraction of wooden boards. Those boards are used in industrial process of pencil production. The texture shows the board quality in respect of nodes, stripes, and defects that causes rejection in the product quality control. The results are discussed and the potential application in an industrial plant is evaluated.\",\"PeriodicalId\":103287,\"journal\":{\"name\":\"Proceedings II Workshop on Cybernetic Vision\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings II Workshop on Cybernetic Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBVIS.1996.629461\",\"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.1996.629461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Feature extraction for defect classification in surfaces of wooden boards
The aim of this work is to apply spatial gray level dependence method (SGLDM) for feature extraction of wooden boards. Those boards are used in industrial process of pencil production. The texture shows the board quality in respect of nodes, stripes, and defects that causes rejection in the product quality control. The results are discussed and the potential application in an industrial plant is evaluated.
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