{"title":"一种寻找双水平图像轮廓的动态新方法","authors":"Chow L.R., Liu H.C., Hsu S.Y., Wu D.W.","doi":"10.1006/cgip.1994.1045","DOIUrl":null,"url":null,"abstract":"A new method to obtain the contour of a bi-level image is proposed. The method hinges on the clustering property of an image. The order of the search sequence for each boundary pixel is determined dynamically according to the occurring probabilities of its adjacent neighbors. The complexity of the proposed method is then analyzed, and some images and Chinese characters are processed. The results indicate that the proposed algorithm increases computation speed significantly over other established algorithms.","PeriodicalId":100349,"journal":{"name":"CVGIP: Graphical Models and Image Processing","volume":"56 6","pages":"Pages 507-509"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cgip.1994.1045","citationCount":"4","resultStr":"{\"title\":\"A New Dynamic Approach for Finding the Contour of Bi-Level Images\",\"authors\":\"Chow L.R., Liu H.C., Hsu S.Y., Wu D.W.\",\"doi\":\"10.1006/cgip.1994.1045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method to obtain the contour of a bi-level image is proposed. The method hinges on the clustering property of an image. The order of the search sequence for each boundary pixel is determined dynamically according to the occurring probabilities of its adjacent neighbors. The complexity of the proposed method is then analyzed, and some images and Chinese characters are processed. The results indicate that the proposed algorithm increases computation speed significantly over other established algorithms.\",\"PeriodicalId\":100349,\"journal\":{\"name\":\"CVGIP: Graphical Models and Image Processing\",\"volume\":\"56 6\",\"pages\":\"Pages 507-509\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1006/cgip.1994.1045\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CVGIP: Graphical Models and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1049965284710455\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Graphical Models and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049965284710455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Dynamic Approach for Finding the Contour of Bi-Level Images
A new method to obtain the contour of a bi-level image is proposed. The method hinges on the clustering property of an image. The order of the search sequence for each boundary pixel is determined dynamically according to the occurring probabilities of its adjacent neighbors. The complexity of the proposed method is then analyzed, and some images and Chinese characters are processed. The results indicate that the proposed algorithm increases computation speed significantly over other established algorithms.