On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition
Retinal images are used for diagnostic purposes by ophthalmologists. However, despite controlled conditions in acquisition retinal images often suffer from non-uniform illumination which hinder their clinical use. In this work we propose the compensation of the illumination by modeling the intensity...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9025
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9025
- Palabra clave:
- Empirical mode decomposition
Fundus photography
Illumination compensation
Image enhancement
Medical image
POphthalmology
Retinal image
Bioinformatics
Diagnosis
Image enhancement
Information science
Ophthalmology
Bi dimensional empirical mode decomposition (BEMD)
Bi-dimensional empirical mode decompositions
Empirical mode decomposition
Estimation and compensation
Fundus photography
Illumination compensation
Non-uniform illumination
Retinal image
Medical imaging
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition |
| title |
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition |
| spellingShingle |
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition Empirical mode decomposition Fundus photography Illumination compensation Image enhancement Medical image POphthalmology Retinal image Bioinformatics Diagnosis Image enhancement Information science Ophthalmology Bi dimensional empirical mode decomposition (BEMD) Bi-dimensional empirical mode decompositions Empirical mode decomposition Estimation and compensation Fundus photography Illumination compensation Non-uniform illumination Retinal image Medical imaging |
| title_short |
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition |
| title_full |
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition |
| title_fullStr |
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition |
| title_full_unstemmed |
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition |
| title_sort |
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition |
| dc.contributor.editor.none.fl_str_mv |
Garcia-Arteaga J.D. Brieva J. Lepore N. |
| dc.subject.keywords.none.fl_str_mv |
Empirical mode decomposition Fundus photography Illumination compensation Image enhancement Medical image POphthalmology Retinal image Bioinformatics Diagnosis Image enhancement Information science Ophthalmology Bi dimensional empirical mode decomposition (BEMD) Bi-dimensional empirical mode decompositions Empirical mode decomposition Estimation and compensation Fundus photography Illumination compensation Non-uniform illumination Retinal image Medical imaging |
| topic |
Empirical mode decomposition Fundus photography Illumination compensation Image enhancement Medical image POphthalmology Retinal image Bioinformatics Diagnosis Image enhancement Information science Ophthalmology Bi dimensional empirical mode decomposition (BEMD) Bi-dimensional empirical mode decompositions Empirical mode decomposition Estimation and compensation Fundus photography Illumination compensation Non-uniform illumination Retinal image Medical imaging |
| description |
Retinal images are used for diagnostic purposes by ophthalmologists. However, despite controlled conditions in acquisition retinal images often suffer from non-uniform illumination which hinder their clinical use. In this work we propose the compensation of the illumination by modeling the intensity as a sum of non-stationary signals using bidimensional empirical mode decomposition (BEMD). We compare the estimation and compensation of the background illumination with a widely used technique based retinal image pixel classification. The proposed method has shown to provide a better estimation of the background illumination, particularly in complicated areas such as the optic disk (usually bright) and the periphery of fundus images (usually dim). © 2015 SPIE. |
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2015 |
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2015 |
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2020-03-26T16:32:47Z |
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2020-03-26T16:32:47Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Conferencia |
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Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9681 |
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9781628419160 |
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0277786X |
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https://hdl.handle.net/20.500.12585/9025 |
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10.1117/12.2211464 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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24329839300 57117284600 57118151700 7201466399 |
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Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9681 9781628419160 0277786X 10.1117/12.2211464 Universidad Tecnológica de Bolívar Repositorio UTB 24329839300 57117284600 57118151700 7201466399 |
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https://hdl.handle.net/20.500.12585/9025 |
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eng |
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eng |
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17 November 2015 through 19 November 2015 |
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11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015 |
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Garcia-Arteaga J.D.Brieva J.Lepore N.Marrugo A.G.Vargas R.Chirino M.Millán M.S.2020-03-26T16:32:47Z2020-03-26T16:32:47Z2015Proceedings of SPIE - The International Society for Optical Engineering; Vol. 968197816284191600277786Xhttps://hdl.handle.net/20.500.12585/902510.1117/12.2211464Universidad Tecnológica de BolívarRepositorio UTB2432983930057117284600571181517007201466399Retinal images are used for diagnostic purposes by ophthalmologists. However, despite controlled conditions in acquisition retinal images often suffer from non-uniform illumination which hinder their clinical use. In this work we propose the compensation of the illumination by modeling the intensity as a sum of non-stationary signals using bidimensional empirical mode decomposition (BEMD). We compare the estimation and compensation of the background illumination with a widely used technique based retinal image pixel classification. The proposed method has shown to provide a better estimation of the background illumination, particularly in complicated areas such as the optic disk (usually bright) and the periphery of fundus images (usually dim). © 2015 SPIE.Prometeo - Secretaria de Educacion Superior, Ciencia, Tecnologia e Innovacion;Red Nacional de Investigacion y Educacion del Ecuador;Universidad Nacional de Colombia Sede Bogota, CIM at labRecurso electrónicoapplication/pdfengSPIEhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958211440&doi=10.1117%2f12.2211464&partnerID=40&md5=a6862b2a94fbaefbba2460aeb7e2fb75Scopus2-s2.0-8495821144011th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015On the illumination compensation of retinal images by means of the bidimensional empirical mode decompositioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fEmpirical mode decompositionFundus photographyIllumination compensationImage enhancementMedical imagePOphthalmologyRetinal imageBioinformaticsDiagnosisImage enhancementInformation scienceOphthalmologyBi dimensional empirical mode decomposition (BEMD)Bi-dimensional empirical mode decompositionsEmpirical mode decompositionEstimation and compensationFundus photographyIllumination compensationNon-uniform illuminationRetinal imageMedical imaging17 November 2015 through 19 November 2015Abramo, M.D., Garvin, M., Sonka, M., Retinal imaging and image analysis (2010) Biomedical Engineering IEEE Reviews in, 3, pp. 169-208Marrugo, A.G., Millan, M.S., Retinal image analysis oriented to the clinical task (2014) Electronic Letters on Computer Vision and Image Analysis, 13 (2), pp. 54-55Feng, P., Pan, Y., Wei, B., Jin, W., Mi, D., Enhancing retinal image by the Contourlet transform (2007) Pattern Recognition Letters, 28 (4), pp. 516-522Salem, N., Nandi, A., Novel and adaptive contribution of the red channel in pre-processing of colour fundus images (2007) Journal of the Franklin Institute, 344 (3-4), pp. 243-256Foracchia, M., Grisan, E., Ruggeri, A., Luminosity and contrast normalization in retinal images (2005) Medical Image Analysis, 9 (3), pp. 179-190Newton, M.J., The promise of telemedicine (2014) Survey of Ophthalmology, 59, pp. 559-567. , SeptLu, Y., Xie, F., Wu, Y., Jiang, Z., Meng, R., No reference uneven illumination assessment for dermoscopy images (2015) IEEE Signal Processing Letters, 22 (5), pp. 534-538Akram, M.U., Khitran, S., Usman, A., Yasin, U., Detection of hemorrhages in colored fundus images using non uniform illumination estimation (2014) Lecture Notes in Computer Science, 8815, pp. 329-336. , Campilho, A., Kamel, M., eds. Springer International PublishingMarrugo, A.G., Millan, M.S., Sorel, M., Sroubek, F., Restoration of retinal images with space-variant blur (2014) Journal of Biomedical Optics, 19, p. 016023. , JanMarrugo, A.G., Sorel, M., Sroubek, F., Millan, M.S., Retinal image restoration by means of blind deconvolu-tion (2011) Journal of Biomedical Optics, 16 (11), p. 116016Marrugo, A.G., Millan, M.S., Retinal image analysis: Preprocessing and feature extraction (2011) Journal of Physics: Conference Series, 274 (1), p. 012039Joshi, G., Sivaswamy, J., Colour retinal image enhancement based on domain knowledge (2008) Computer Vision, Graphics & Image Processing 2008. ICVGIP '08. Sixth Indian Conference on, pp. 591-598Gao, L., Smith, R.T., Tkaczyk, T.S., Snapshot hyperspectral retinal camera with the Image Mapping Spec-trometer (IMS) (2012) Biomedical Optics Express, 3, pp. 48-54. , JanGrisan, E., Giani, A., Ceseracciu, E., Ruggeri, A., Model-based illumination correction in retinal images (2006) Biomedical Imaging: Nano to Macro 2006. 3rd IEEE International Symposium on, pp. 984-987Zheng, Y., Vanderbeek, B., Xiao, R., Daniel, E., Stambolian, D., Maguire, M., O'Brien, J., Gee, J., Retro-spective illumination correction of retinal fundus images from gradient distribution sparsity (2012) 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.C., Liu, H.H., The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis (1998) Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 454, pp. 903-995. , MarNunes, J.C., Bouaoune, Y., Delechelle, E., Niang, O., Bunel, P., Image analysis by bidimensional empirical mode decomposition (2003) Image and Vision Computing, 21, pp. 1019-1026. , NovD'Errico, J., Surface tting using gridt (2005) MATLAB Central le Exchange, p. 643http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9025/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9025oai:repositorio.utb.edu.co:20.500.12585/90252021-02-02 15:27:12.388Repositorio Institucional UTBrepositorioutb@utb.edu.co |