罗盘边缘检测中的核集

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI:10.1109/CINTI.2013.6705199

P. Císar, S. M. Cisar, B. Markoski

{"title":"罗盘边缘检测中的核集","authors":"P. Císar, S. M. Cisar, B. Markoski","doi":"10.1109/CINTI.2013.6705199","DOIUrl":null,"url":null,"abstract":"Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Kernel sets in compass edge detection\",\"authors\":\"P. Císar, S. M. Cisar, B. Markoski\",\"doi\":\"10.1109/CINTI.2013.6705199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.\",\"PeriodicalId\":439949,\"journal\":{\"name\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINTI.2013.6705199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI.2013.6705199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

摘要

边缘检测是数字图像分析中的一项重要操作，它包括一套识别不连续点的数学方法。为此，使用了不同的算法来估计图像梯度。许多边缘检测技术都是基于卷积掩模和微分算子的离散逼近来实现的。差分操作测量图像亮度函数的变化率。罗盘方法意味着取单个掩模并将其旋转到主要罗盘方向。本文利用合适的编程环境，对多幅数字图像进行了对比视觉分析，并在罗盘边缘检测中实现了核集的改变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Kernel sets in compass edge detection

Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

自引率

0.00%

发文量