{"title":"文档图像分析生成语法结构描述","authors":"Y. Tsuji","doi":"10.1109/ICPR.1988.28346","DOIUrl":null,"url":null,"abstract":"A document image analysis is described which automatically converts an input image into a syntactic document tree structure, while simultaneously representing the elements and their relative relations. Top-down image segmentation, using projection profiles, was greatly improved by systematically using a feedback process. As a result, the tree structure, including the blocks and their relative relations, was generated. Both the elements and their relations in the generated tree were finally determined by the bottom-up strategy, based on the general document layout property. Experimental results showed that this proposed method can be appropriately used to automatically describe an input image as a layout structure.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Document image analysis for generating syntactic structure description\",\"authors\":\"Y. Tsuji\",\"doi\":\"10.1109/ICPR.1988.28346\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A document image analysis is described which automatically converts an input image into a syntactic document tree structure, while simultaneously representing the elements and their relative relations. Top-down image segmentation, using projection profiles, was greatly improved by systematically using a feedback process. As a result, the tree structure, including the blocks and their relative relations, was generated. Both the elements and their relations in the generated tree were finally determined by the bottom-up strategy, based on the general document layout property. Experimental results showed that this proposed method can be appropriately used to automatically describe an input image as a layout structure.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28346\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Document image analysis for generating syntactic structure description
A document image analysis is described which automatically converts an input image into a syntactic document tree structure, while simultaneously representing the elements and their relative relations. Top-down image segmentation, using projection profiles, was greatly improved by systematically using a feedback process. As a result, the tree structure, including the blocks and their relative relations, was generated. Both the elements and their relations in the generated tree were finally determined by the bottom-up strategy, based on the general document layout property. Experimental results showed that this proposed method can be appropriately used to automatically describe an input image as a layout structure.<>