ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION

Autor: Ismael Cabero, Irene Epifanio

Publikováno v: Image Analysis and Stereology, Vol 38, Iss 2, Pp 151-160 (2019)

Texture segmentation is one of the main tasks in image applications, specifically in remote sensing, where the objective is to segment high-resolution images of natural landscapes into different cover types. Often the focus is on the selection of dis

Externí odkaz: https://doaj.org/article/8b12feb32bca4178bbfd5c3d6afa1394

Biochar de casca de pequi como componente de substrato para produção de mudas de Eucalyptus urophylla S. T

Autor: Basílio, Josiana Jussara Nazaré, Rodrigues, Lorrane Aguiar, Silva, Maria Shirley Amorim, Colen, Fernando, Oliveira, Leandro Silva

Publikováno v: Agrarian Sciences Journal; Vol. 12 (2020); 1-10
Caderno de Ciências Agrárias; v. 12 (2020); 1-10
Caderno de Ciências Agrárias
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG

The use of substrates using or biochar as a component is a viable alternative in the production of forest seedlings, due to improvements in physical-chemical characteristics. In view of the above, the objective of this study was to evaluate the effec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::b9787ea7cec4d486a0a01fbee9936c74
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/24836

Morphology for grey-scale images

Autor: Henk J.A.M. Heijmans

The mathematical morphology of grey-level images has many special features, which are the subject of this chapter. A general procedure for proceeding from binary to grey-level morphology was presented in an earlier chapter. Here, each aspect of the m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3f8b40f08ed455790d02d765b9cfd25
https://ir.cwi.nl/pub/30058

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes

Autor: Valery Naranjo, Adrián Colomer, María A. Sales, Rafael Molina, Miguel López-Pérez, Ángel E. Esteban

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Background and objective Prostate cancer is one of the most common male tumors. The increasing use of whole slide digital scanners has led to an enormous interest in the application of machine learning techniques to histopathological image class

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c2d9078ff0f9a1076b45eb9d0051e71
https://pubmed.ncbi.nlm.nih.gov/31416557

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