I. Winnicki, S. Pietrek, Janusz Jasinski, Krzysztof Kroszczynski
{"title":"数字图像处理中五阶拉普拉斯轮廓滤波器的数学特性","authors":"I. Winnicki, S. Pietrek, Janusz Jasinski, Krzysztof Kroszczynski","doi":"10.24425/agg.2022.141300","DOIUrl":null,"url":null,"abstract":": The Laplace operator is a differential operator which is used to detect edges of objects in digital images. This paper presents the properties of the most commonly used fifth-order pixels Laplace filters including the difference schemes used to derive them (finite difference method – FDM and finite element method – FEM). The results of the research concerning third-order pixels matrices of the convolution Laplace filters used for digital processing of images were presented in our previous paper: The mathematical characteristic of the Laplace contour filters used in digital image processing. The third order filters is presented by Winnicki et al. (2022). As previously, the authors focused on the mathematical properties of the Laplace filters: their transfer functions and modified differential equations (MDE). The relations between the transfer function for the differential Laplace operator and its difference operators are described and presented here in graphical form. The impact of the corner elements of the masks on the results is also discussed. A transfer function, is a function characterizing properties of the difference schemes applied to approximate differentialoperators.Sincetheyarerelationsderivedinbothtypesofspaces(continuousand discrete),comparingthemfacilitatestheassessmentoftheappliedapproximationmethod.","PeriodicalId":29675,"journal":{"name":"Advances in Geodesy and Geoinformation","volume":"21 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The mathematical characteristic of the fifth order Laplace contour filters used in digital image processing\",\"authors\":\"I. Winnicki, S. Pietrek, Janusz Jasinski, Krzysztof Kroszczynski\",\"doi\":\"10.24425/agg.2022.141300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The Laplace operator is a differential operator which is used to detect edges of objects in digital images. This paper presents the properties of the most commonly used fifth-order pixels Laplace filters including the difference schemes used to derive them (finite difference method – FDM and finite element method – FEM). The results of the research concerning third-order pixels matrices of the convolution Laplace filters used for digital processing of images were presented in our previous paper: The mathematical characteristic of the Laplace contour filters used in digital image processing. The third order filters is presented by Winnicki et al. (2022). As previously, the authors focused on the mathematical properties of the Laplace filters: their transfer functions and modified differential equations (MDE). The relations between the transfer function for the differential Laplace operator and its difference operators are described and presented here in graphical form. The impact of the corner elements of the masks on the results is also discussed. A transfer function, is a function characterizing properties of the difference schemes applied to approximate differentialoperators.Sincetheyarerelationsderivedinbothtypesofspaces(continuousand discrete),comparingthemfacilitatestheassessmentoftheappliedapproximationmethod.\",\"PeriodicalId\":29675,\"journal\":{\"name\":\"Advances in Geodesy and Geoinformation\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Geodesy and Geoinformation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24425/agg.2022.141300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Geodesy and Geoinformation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24425/agg.2022.141300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"REMOTE SENSING","Score":null,"Total":0}
The mathematical characteristic of the fifth order Laplace contour filters used in digital image processing
: The Laplace operator is a differential operator which is used to detect edges of objects in digital images. This paper presents the properties of the most commonly used fifth-order pixels Laplace filters including the difference schemes used to derive them (finite difference method – FDM and finite element method – FEM). The results of the research concerning third-order pixels matrices of the convolution Laplace filters used for digital processing of images were presented in our previous paper: The mathematical characteristic of the Laplace contour filters used in digital image processing. The third order filters is presented by Winnicki et al. (2022). As previously, the authors focused on the mathematical properties of the Laplace filters: their transfer functions and modified differential equations (MDE). The relations between the transfer function for the differential Laplace operator and its difference operators are described and presented here in graphical form. The impact of the corner elements of the masks on the results is also discussed. A transfer function, is a function characterizing properties of the difference schemes applied to approximate differentialoperators.Sincetheyarerelationsderivedinbothtypesofspaces(continuousand discrete),comparingthemfacilitatestheassessmentoftheappliedapproximationmethod.