| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPBW34M/3JNHU48 | |||
| Repository | sid.inpe.br/sibgrapi/2015/06.24.21.28 | |||
| Last Update | 2015:06.24.21.28.53 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2015/06.24.21.28.53 | |||
| Metadata Last Update | 2022:06.14.00.08.15 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI.2015.29 | |||
| Citation Key | LinaresBoteRodrBati:2015:AdErMe | |||
| Title | An Adjustable Error Measure for Image Segmentation Evaluation  | |||
| Format | On-line | |||
| Year | 2015 | |||
| Access Date | 2024, Apr. 19 | |||
| Number of Files | 1 | |||
| Size | 497 KiB | |||
| 2. Context | ||||
| Author | 1 Linares, Oscar Cuadros 2 Botelho, Glenda 3 Rodrigues, Francisco 4 Batista Neto, João | |||
| Affiliation | 1 University of São Paulo 2 Universidade Federal do Tocantins 3 University of São Paulo 4 University of São Paulo | |||
| Editor | Papa, João Paulo Sander, Pedro Vieira Marroquim, Ricardo Guerra Farrell, Ryan | |||
| e-Mail Address | ocuadros@icmc.uso.br | |||
| Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) | |||
| Conference Location | Salvador, BA, Brazil | |||
| Date | 26-29 Aug. 2015 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2015-06-24 21:28:53 :: ocuadros@icmc.uso.br -> administrator :: 2022-06-14 00:08:15 :: administrator -> :: 2015 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | error measure metric evaluation image segmentation | |||
| Abstract | Due to the subjective nature of the segmentation process, quantitative evaluation of image segmentation methods is still a difficult task. Humans perceive image objects in different ways. Consequently, human segmentations may come in different levels of refinement, ie, under- and over-segmentations. Popular segmentation error measures in the literature (Arbelaez and OCE) are supervised methods (also called empirical discrepancy methods), in which error is computed by comparing objects in segmentations with a reference (ground-truth) image produced by humans. Since reference images can be many, the key issue for a segmentation error measure is to be consistent in the presence of both under- and over-segmentation. In general, the term consistency refers to the ability of the error measure to be low, when comparing similar segmentations, or high, when faced with different segmentations, while capturing under- or over-segmentations. In this paper we propose a new object-based empirical discrepancy error measure, called Adjustable Object- based Measure (AOM). We introduce a penalty parameter which gives the method the ability to be more (or less) responsive in the presence of over-segmentation. Hence, we extend the notion of consistency so as to include the applications need in the process. Some applications require segmentation to be extremely accurate, hence under- or over-segmentation should be well penalised. Others, do not. By changing the penalty parameter, AOM can deliver more consistent results not only in reference to the under- or over-segmentation issue alone, but also according to the nature of the application. We compare our method with Arbelaez (used as standard measure in the benchmark of Berkeley Segmentation Image Dataset) and OCE. Our results show that AOM not only is more consistent in the presence of over-segmentation, but is also faster to compute. Unlike Arbelaez and OCE, AOM also satisfies the metric axiom of symmetry. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > An Adjustable Error... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > An Adjustable Error... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3JNHU48 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JNHU48 | |||
| Language | en | |||
| Target File | PID3768029.pdf | |||
| User Group | ocuadros@icmc.uso.br | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 5 sid.inpe.br/banon/2001/03.30.15.38.24 1 | |||
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||