{"title":"矩不变量对灰度调整的稳定性分析","authors":"Xingbin Bian, Qingxin Zhu","doi":"10.1109/ICSSSM.2005.1500176","DOIUrl":null,"url":null,"abstract":"Moments can uniquely describe an image. Moment invariants with stability to geometric transformation can be used as features to recognize images despite geometric transformations. However, moment invariants lose stability when gray-levels are adjusted. Usually image processing may cause adjusting of gray-level, which limits application of moment invariants. This paper analyses the relation between invariant moments and gray-level adjustment, and concludes that gray-level histogram equalization can enhance the stability of invariant moments effectively. The conclusion is well proved by experiments.","PeriodicalId":389467,"journal":{"name":"Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of moment invariant's stability to gray-level adjustment\",\"authors\":\"Xingbin Bian, Qingxin Zhu\",\"doi\":\"10.1109/ICSSSM.2005.1500176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Moments can uniquely describe an image. Moment invariants with stability to geometric transformation can be used as features to recognize images despite geometric transformations. However, moment invariants lose stability when gray-levels are adjusted. Usually image processing may cause adjusting of gray-level, which limits application of moment invariants. This paper analyses the relation between invariant moments and gray-level adjustment, and concludes that gray-level histogram equalization can enhance the stability of invariant moments effectively. The conclusion is well proved by experiments.\",\"PeriodicalId\":389467,\"journal\":{\"name\":\"Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2005.1500176\",\"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 of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2005.1500176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of moment invariant's stability to gray-level adjustment
Moments can uniquely describe an image. Moment invariants with stability to geometric transformation can be used as features to recognize images despite geometric transformations. However, moment invariants lose stability when gray-levels are adjusted. Usually image processing may cause adjusting of gray-level, which limits application of moment invariants. This paper analyses the relation between invariant moments and gray-level adjustment, and concludes that gray-level histogram equalization can enhance the stability of invariant moments effectively. The conclusion is well proved by experiments.
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