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A method to classify digital images by means of statistics of a wavelet decomposition
Citation
Hernández Perdomo, Wilmar and Méndez Alonso, Alfredo and Ballesteros Olmo, Francisco and Gonzalez Posadas, Vicente and Jimenez Martin, Jose Luis and Chinchero, Héctor and Acosta Vargas, Patricia and Zalakeviciute, Rasa (2019). A method to classify digital images by means of statistics of a wavelet decomposition. In: "2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)", 12 al 14 de junio de 2019, Vancouver, Canada. pp. 1669-1674. https://doi.org/10.1109/ISIE.2019.8781229..
Description
| Title: | A method to classify digital images by means of statistics of a wavelet decomposition |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) |
| Event Dates: | 12 al 14 de junio de 2019 |
| Event Location: | Vancouver, Canada |
| Title of Book: | 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) |
| Date: | 2019 |
| Subjects: | |
| Faculty: | E.T.S.I. y Sistemas de Telecomunicación (UPM) |
| Department: | Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
There is a wide variety of methods for the analysis of textures and the extraction of image characteristics based on wavelet decomposition. The objective of this paper is to find a vector of characteristics of each image and to determine a classification among them using principal component analysis. The procedures presented here are for classifying test images. After fragmenting the image, a wavelet decomposition of the fragmented images is performed both in scale and in orientation. To characterize the images, statistics of marginal and joint distributions based on local neighborhoods of spatial, orientation and scale type are used.
More information
| Item ID: | 64506 |
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| DC Identifier: | https://oa.upm.es/64506/ |
| OAI Identifier: | oai:oa.upm.es:64506 |
| DOI: | 10.1109/ISIE.2019.8781229. |
| Official URL: | https://ieeexplore.ieee.org/document/8781229 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 12 Feb 2021 10:15 |
| Last Modified: | 12 Feb 2021 10:15 |
