First- and Second-Order Full-Differential in Edge Analysis of Images

Two concepts of first- and second-order differential of images are presented to deal with the changes of pixels. These are the basic ideas in mathematics. We propose and reformulate them with a uniform definition framework. Based on our observation and analysis with the difference, we propose an alg...

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Main Authors: Dong-Mei Pu, Yu-Bo Yuan
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/121928
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author Dong-Mei Pu
Yu-Bo Yuan
author_facet Dong-Mei Pu
Yu-Bo Yuan
author_sort Dong-Mei Pu
collection DOAJ
description Two concepts of first- and second-order differential of images are presented to deal with the changes of pixels. These are the basic ideas in mathematics. We propose and reformulate them with a uniform definition framework. Based on our observation and analysis with the difference, we propose an algorithm to detect the edge from image. Experiments on Corel5K and PASCAL VOC 2007 are done to show the difference between the first order and the second order. After comparison with Canny operator and the proposed first-order differential, the main result is that the second-order differential has the better performance in analysis of changes of the context of images with good selection of control parameter.
format Article
id doaj-art-85dc99f42cce447782f1969f4f3d210e
institution OA Journals
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publishDate 2014-01-01
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spelling doaj-art-85dc99f42cce447782f1969f4f3d210e2025-08-20T02:08:56ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/121928121928First- and Second-Order Full-Differential in Edge Analysis of ImagesDong-Mei Pu0Yu-Bo Yuan1School of Science, China Jiliang University, Hangzhou 310018, ChinaSchool of Science, China Jiliang University, Hangzhou 310018, ChinaTwo concepts of first- and second-order differential of images are presented to deal with the changes of pixels. These are the basic ideas in mathematics. We propose and reformulate them with a uniform definition framework. Based on our observation and analysis with the difference, we propose an algorithm to detect the edge from image. Experiments on Corel5K and PASCAL VOC 2007 are done to show the difference between the first order and the second order. After comparison with Canny operator and the proposed first-order differential, the main result is that the second-order differential has the better performance in analysis of changes of the context of images with good selection of control parameter.http://dx.doi.org/10.1155/2014/121928
spellingShingle Dong-Mei Pu
Yu-Bo Yuan
First- and Second-Order Full-Differential in Edge Analysis of Images
The Scientific World Journal
title First- and Second-Order Full-Differential in Edge Analysis of Images
title_full First- and Second-Order Full-Differential in Edge Analysis of Images
title_fullStr First- and Second-Order Full-Differential in Edge Analysis of Images
title_full_unstemmed First- and Second-Order Full-Differential in Edge Analysis of Images
title_short First- and Second-Order Full-Differential in Edge Analysis of Images
title_sort first and second order full differential in edge analysis of images
url http://dx.doi.org/10.1155/2014/121928
work_keys_str_mv AT dongmeipu firstandsecondorderfulldifferentialinedgeanalysisofimages
AT yuboyuan firstandsecondorderfulldifferentialinedgeanalysisofimages