{"title":"形态学图像处理","authors":"Jagtap Sharadkumar, K. Suvarna","doi":"10.1002/0471221325.ch14","DOIUrl":null,"url":null,"abstract":"This paper presents an Morphological image processing is constructed with operations on sets of pixels. Binary morphology uses only set membership and is different to the different values such as image, color of a pixel. We will examine some basic set operations and their usefulness in image processing and we will deal here only with Morphological filtering operators such as Erosion, dilation, Opening, closing Hit-or-miss Boundary extraction. Morphological operations for binary images and its applications.","PeriodicalId":283986,"journal":{"name":"International Journal in IT & Engineering","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Morphological Image Processing\",\"authors\":\"Jagtap Sharadkumar, K. Suvarna\",\"doi\":\"10.1002/0471221325.ch14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an Morphological image processing is constructed with operations on sets of pixels. Binary morphology uses only set membership and is different to the different values such as image, color of a pixel. We will examine some basic set operations and their usefulness in image processing and we will deal here only with Morphological filtering operators such as Erosion, dilation, Opening, closing Hit-or-miss Boundary extraction. Morphological operations for binary images and its applications.\",\"PeriodicalId\":283986,\"journal\":{\"name\":\"International Journal in IT & Engineering\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal in IT & Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/0471221325.ch14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal in IT & Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/0471221325.ch14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an Morphological image processing is constructed with operations on sets of pixels. Binary morphology uses only set membership and is different to the different values such as image, color of a pixel. We will examine some basic set operations and their usefulness in image processing and we will deal here only with Morphological filtering operators such as Erosion, dilation, Opening, closing Hit-or-miss Boundary extraction. Morphological operations for binary images and its applications.
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