Publications

@article{garcia-ordas_evaluation_2013,

title = {Evaluation of different metrics for shape based image retrieval using a new contour points descriptor},

author = {María Teresa García-Ordás and Enrique Alegre and Óscar García-Olalla Olivera and Diego García-Ordás},

url = {https://link.springer.com/chapter/10.1007/978-3-642-41062-8_14},

year  = {2013},

date = {2013-01-01},

journal = {Similarity Search and Applications: 6th International Conference, SISAP 2013, A Coruña, Spain, October 2-4, 2013, Proceedings 6},

pages = {141–150},

abstract = {This paper evaluates an image shape retrieval method using various distance metrics (Euclidean, Intersect, Hamming, and Cityblock) and k-nearest neighbors (kNN) classifiers (original kNN, mean distance kNN, and weighted kNN). A new shape descriptor, CPDH36R, improves upon the original CPDH descriptor, achieving higher success rates across Kimia99, Kimia25, MPEG7, and MPEG2 datasets. The Cityblock distance with the original kNN classifier yields the best performance, notably improving accuracy in MPEG2. Additionally, the proposed method significantly reduces computational cost compared to the original Earth Mover Distance classifier.},

note = {Publisher: Springer Berlin Heidelberg},

keywords = {CPDH36R descriptor, kNN, Shape Retrieval},

pubstate = {published},

tppubtype = {article}

}

@article{garcia-olalla_olivera_evaluation_2013,

title = {Evaluation of LBP Variants using several Metrics and kNN Classifiers},

author = {Óscar García-Olalla Olivera and Enrique Alegre and María Teresa García-Ordás and Laura Fernández-Robles},

url = {https://link.springer.com/chapter/10.1007/978-3-642-41062-8_15},

year  = {2013},

date = {2013-01-01},

journal = {Similarity Search and Applications: 6th International Conference, SISAP 2013, A Coruña, Spain, October 2-4, 2013, Proceedings 6},

pages = {151–162},

abstract = {Este estudio compara ALBPS con LBP y sus variantes en recuperación de imágenes, utilizando los conjuntos de datos KTH-TIPS 2a y un conjunto de esperma para clasificación de vitalidad. ALBPS superó a los otros métodos, logrando un 61,47% de acierto en KTH-TIPS 2a y 72,66% en el conjunto de esperma, destacando su mayor poder discriminante.},

note = {Publisher: Springer Berlin Heidelberg},

keywords = {ALBPS, Análisis de Textura, kNN, LBP, Reconocimiento de Materiales, Recuperación de imágenes},

pubstate = {published},

tppubtype = {article}

}

@article{alegre_boar_2011,

title = {Boar spermatozoa classification using longitudinal and transversal profiles (LTP) descriptor in digital images},

author = {Enrique Alegre and Óscar García-Olalla Olivera and Víctor González-Castro and Swapna Joshi},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21073-0_36},

year  = {2011},

date = {2011-01-01},

journal = {Combinatorial Image Analysis: 14th International Workshop, IWCIA 2011, Madrid, Spain, May 23-25, 2011. Proceedings 14},

pages = {410–419},

abstract = {A new textural descriptor called Longitudinal and Transversal Profiles (LTP) has been proposed to classify images of dead and alive spermatozoa heads. The dataset consists of 376 dead spermatozoa head images and 472 alive ones. The performance of LTP was compared to other descriptors like Pattern Spectrum, Flusser, Hu, and a histogram-based statistical descriptor. The feature vectors were classified using both a back-propagation Neural Network and the kNN algorithm. The LTP descriptor achieved a classification error of 30.58%, outperforming the other descriptors. Additionally, the Area Under the ROC Curve (AUC) confirmed that LTP provided better performance than the other texture descriptors.},

note = {Publisher: Springer Berlin Heidelberg},

keywords = {Image classification, kNN, LTP Descriptor, Neural Network, Spermatozoa Classification, texture descriptors},

pubstate = {published},

tppubtype = {article}

}

@article{suarez-castrillon_evaluacion_nodate,

title = {Evaluación de diferentes tipos de iluminación para la clasificación de la rugosidad de piezas metálicas mediante análisis de imagen},

author = {Alexci Suárez-Castrillón and Enrique Alegre and Patricia Morala-Argüello and Joaquín Barreiro and Víctor González-Castro},

url = {https://buleria.unileon.es/handle/10612/10344},

abstract = {Este estudio clasifica la rugosidad de piezas metálicas en procesos de torneado mediante análisis de imagen y evalúa la influencia del ángulo de iluminación. Se emplean cuatro descriptores de primer orden (media, desviación estándar, asimetría y kurtosis) y el clasificador KNN. Se analizaron 284 imágenes, comparando los resultados con métodos tradicionales. Los errores obtenidos fueron: coaxial 0.70%, angular 9.68% y rasante 1.03%. Los resultados destacan la importancia de la iluminación en la medición de la rugosidad y la efectividad de los descriptores de textura.},

keywords = {Angular, Coaxial, Descriptores de Textura, Iluminación, Inspección, kNN, Rasante, Rugosidad},

pubstate = {published},

tppubtype = {article}

}