Acute leukemia classification by ensemble particle swarm model selection

HJ Escalante, M Montes-y-Gómez, JA González… - Artificial intelligence in …, 2012 - Elsevier
OBJECTIVE: Acute leukemia is a malignant disease that affects a large proportion of the
world population. Different types and subtypes of acute leukemia require different …

[PDF][PDF] Texture classification method using Wavelet transforms based on Gaussian Markov Random Field

BVR Reddy, MR Mani, KV Subbaiah - International Journal of …, 2010 - researchgate.net
The problem of texture classification arises in several disciplines such as remote sensing,
computer vision, and image analysis. The present paper presents a feature extraction …

Leukocytes segmentation using Markov random fields

C Reta, JA Gonzalez, R Diaz, JS Guichard - Software Tools and …, 2011 - Springer
The segmentation of leukocytes and their components plays an important role in the
extraction of geometric, texture, and morphological characteristics used to diagnose different …

A multi-layer contrast analysis method for texture classification based on LBP

HX Chen, YY Tang, B Fang… - International Journal of …, 2011 - World Scientific
Texture classification is one of the important fields in pattern recognition and machine vision
research. LBP method, 13–15 proposed by Ojala, can be used to classify texture images …

Supervised building extraction using morphological profiles with adaptive structures

H Khurshid, MF Khan, A Ahmed - 2015 9th Asia Modelling …, 2015 - ieeexplore.ieee.org
Morphological profiles are one of the highly effective tools for image classification when
structural information is critical. Morphological profiles, however create high dimensional …

Territorial imbalances associated with mining activity in Calimaya, State of Mexico

EAV García, AO Hernández, JEB Suárez… - Boletín Geológico y …, 2022 - bgm.revistas.csic.es
Mining is an industrial activity which greatest impact on the ecosystem usually occurs at the
end of the exploitation stage, if the mining project has not included a final stage of …

Reference Fields Analysis of a Markov Random Field Model to Improve Image Segmentation

ED López-Espinoza… - Journal of applied research …, 2010 - scielo.org.mx
In Markov random field (MRF) models, parameters such as internal and external reference
fields are used. In this paper, the influence of these parameters in the segmentation quality …

Free adaptive tessellation strategy of Bézier surfaces

R Concheiro, M Amor, M Bóo… - … on Computer Graphics …, 2014 - ieeexplore.ieee.org
Rendering of Bézier surfaces is currently performed by tessellating the model on the GPU
and rendering the highly detailed triangle mesh. Whereas non-adaptive strategies apply the …

A transformation method for texture feature description under different imagine conditions

Z Guan, J Yu, T Feng, A Li - … Archives of the …, 2012 - isprs-archives.copernicus.org
For high spatial resolution Remote Sensing images, it is very important to investigate the
transformational methods between background and target characteristics. Only in this way …

Synthetic Aperture Radar Image Segmentation Based on Markov Random Field with Niche Genetic Algorithm

X Lu, J Zhou, Y He - 2010 International Conference on …, 2010 - ieeexplore.ieee.org
Markov Random Field (MRF) has been found to be effective in the domains of image
segmentations, since the problems can be simplified to search the optimal label fields. The …