The results of the investigation of the boaventura and gonzaga integrated performance evaluation method of edge detection based on the two-dimensional renewal stream; International Symposium on Signals, Circuits and Systems (ISSCS 2015)
| Parent link: | International Symposium on Signals, Circuits and Systems (ISSCS 2015).— 2015.— [4 p.] |
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| مؤلفون آخرون: | , , , |
| الملخص: | Title screen The paper presents the results of the investigation of the I. Boaventura und A. Gonzaga integrated performance evaluation method of edge detection [1-2], obtained using the bundled software of stochastic simulation ≪CS sF≫ [3]. The methods and approaches of stochastic simulation were used in the experiments and the reference images were approximated with the two-dimensional renewal stream [4-7]. The performance of the outline drawing detection was evaluated by Boaventura und Gonzaga method for three algorithms of the edge detection (≪ Canny≫, ≪Marr-Hildreth≫ and ≪ISEF≫) under different levels of peak signal-to-noise ratio. The results of the investigation are presented as dependences of the estimate probability of the correct edge detection, the type 1 and 2 errors, on S/N ratio. The performance analysis of the above three algorithms for the images, produced on the basis of morphology type ≪A≫ and ≪F≫, is done based on the performed evaluation. Режим доступа: по договору с организацией-держателем ресурса |
| اللغة: | الإنجليزية |
| منشور في: |
2015
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dx.doi.org/10.1109/ISSCS.2015.7203950 |
| التنسيق: | xMaterials الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=644314 |
MARC
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| 200 | 1 | |a The results of the investigation of the boaventura and gonzaga integrated performance evaluation method of edge detection based on the two-dimensional renewal stream |f V. E. Geringer [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 17 tit.] | ||
| 330 | |a The paper presents the results of the investigation of the I. Boaventura und A. Gonzaga integrated performance evaluation method of edge detection [1-2], obtained using the bundled software of stochastic simulation ≪CS sF≫ [3]. The methods and approaches of stochastic simulation were used in the experiments and the reference images were approximated with the two-dimensional renewal stream [4-7]. The performance of the outline drawing detection was evaluated by Boaventura und Gonzaga method for three algorithms of the edge detection (≪ Canny≫, ≪Marr-Hildreth≫ and ≪ISEF≫) under different levels of peak signal-to-noise ratio. The results of the investigation are presented as dependences of the estimate probability of the correct edge detection, the type 1 and 2 errors, on S/N ratio. The performance analysis of the above three algorithms for the images, produced on the basis of morphology type ≪A≫ and ≪F≫, is done based on the performed evaluation. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 463 | |t International Symposium on Signals, Circuits and Systems (ISSCS 2015) |o proceedings, 9 - 10 July, 2015, Iasi, Romania |v [4 p.] |d 2015 | ||
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| 701 | 1 | |a Geringer |b V. E. |g Viktor Evgenjevich | |
| 701 | 1 | |a Dubinin |b D. E. |g Dmitry Vladimirovich | |
| 701 | 1 | |a Konrad |b R. |g Rayf | |
| 701 | 1 | |a Kochegurov |b A. I. |c specialist in the field of Informatics and computer engineering |c associate Professor of Tomsk Polytechnic University, candidate of technical Sciences |f 1954- |g Aleksandr Ivanovich |3 (RuTPU)RU\TPU\pers\34160 |9 17700 | |
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