Fuzzy Index to Evaluate Edge Detection in Digital Images.
In literature, we can find different metrics to evaluate the detected edges in digital images, like Pratt's figure of merit (FOM), Jaccard's index (JI) and Dice's coefficient (DC). These metrics compare two images, the first one is the reference edges image, and the second one is the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4483257?pdf=render |
| _version_ | 1819155272989409280 |
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| author | Felicitas Perez-Ornelas Olivia Mendoza Patricia Melin Juan R Castro Antonio Rodriguez-Diaz Oscar Castillo |
| author_facet | Felicitas Perez-Ornelas Olivia Mendoza Patricia Melin Juan R Castro Antonio Rodriguez-Diaz Oscar Castillo |
| author_sort | Felicitas Perez-Ornelas |
| collection | DOAJ |
| description | In literature, we can find different metrics to evaluate the detected edges in digital images, like Pratt's figure of merit (FOM), Jaccard's index (JI) and Dice's coefficient (DC). These metrics compare two images, the first one is the reference edges image, and the second one is the detected edges image. It is important to mention that all existing metrics must binarize images before their evaluation. Binarization step causes information to be lost because an incomplete image is being evaluated. In this paper, we propose a fuzzy index (FI) for edge evaluation that does not use a binarization step. In order to process all detected edges, images are represented in their fuzzy form and all calculations are made with fuzzy sets operators and fuzzy Euclidean distance between both images. Our proposed index is compared to the most used metrics using synthetic images, with good results. |
| first_indexed | 2024-12-22T15:34:21Z |
| format | Article |
| id | doaj.art-ff804af091a04b6695977b2169cbfb40 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T15:34:21Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-ff804af091a04b6695977b2169cbfb402022-12-21T18:21:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01106e013116110.1371/journal.pone.0131161Fuzzy Index to Evaluate Edge Detection in Digital Images.Felicitas Perez-OrnelasOlivia MendozaPatricia MelinJuan R CastroAntonio Rodriguez-DiazOscar CastilloIn literature, we can find different metrics to evaluate the detected edges in digital images, like Pratt's figure of merit (FOM), Jaccard's index (JI) and Dice's coefficient (DC). These metrics compare two images, the first one is the reference edges image, and the second one is the detected edges image. It is important to mention that all existing metrics must binarize images before their evaluation. Binarization step causes information to be lost because an incomplete image is being evaluated. In this paper, we propose a fuzzy index (FI) for edge evaluation that does not use a binarization step. In order to process all detected edges, images are represented in their fuzzy form and all calculations are made with fuzzy sets operators and fuzzy Euclidean distance between both images. Our proposed index is compared to the most used metrics using synthetic images, with good results.http://europepmc.org/articles/PMC4483257?pdf=render |
| spellingShingle | Felicitas Perez-Ornelas Olivia Mendoza Patricia Melin Juan R Castro Antonio Rodriguez-Diaz Oscar Castillo Fuzzy Index to Evaluate Edge Detection in Digital Images. PLoS ONE |
| title | Fuzzy Index to Evaluate Edge Detection in Digital Images. |
| title_full | Fuzzy Index to Evaluate Edge Detection in Digital Images. |
| title_fullStr | Fuzzy Index to Evaluate Edge Detection in Digital Images. |
| title_full_unstemmed | Fuzzy Index to Evaluate Edge Detection in Digital Images. |
| title_short | Fuzzy Index to Evaluate Edge Detection in Digital Images. |
| title_sort | fuzzy index to evaluate edge detection in digital images |
| url | http://europepmc.org/articles/PMC4483257?pdf=render |
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