A new approach for the detection of mammary calcifications by using the white Top-Hat transform and thresholding of Otsu

Guerroudji, Mohamed Amine; Ameur, Zohra

doi:10.1016/j.ijleo.2015.10.192

Cited by 14 publications

(7 citation statements)

References 23 publications

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“…The median filtering was then used to denoise the images, which can effectively remove a large number of randomly distributed noise . Black Top-Hat segmentation can detect the dark area in grayscale images, corresponding to valleys, and a threshold can select the depth of valleys . Therefore, it was used for image segmentation, and the microscopic pore properties were extracted.…”

Section: Materials and Methodsmentioning

confidence: 99%

Influence of Pore Morphology on Permeability through Digital Rock Modeling: New Insights from the Euler Number and Shape Factor

Qin

Xia

et al. 2022

Energy Fuels

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The microscopic pore shape and topology significantly affect fluid transport and occurrence in porous permeable rock. A quantitive characterization of the impact of pore morphology on permeability is currently lacking, which limits the efficient development of underground hydrocarbon resources. This work introduces the Euler number and shape factor to characterize the pore topology and shape of heterogeneous sandstone based on CT imaging. The pore morphology under different pore sizes and the correlation of the Euler number, shape factor, fractal dimension, and surface area are analyzed. Furthermore, a modified Kozeny–Carman equation is established to explain the influence of the Euler number and shape factor on permeability. The results show that with the increase of pore diameter, the Euler number decreases while the shape factor increases. In a connected pore system, the smaller Euler number corresponds to the complex pore network, which leads to the increase in the surface area, shape factor, and fractal dimension. At constant porosity, the shape factor is negatively correlated with permeability, and with increasing Euler number, the heterogeneity of the pore structure increases, resulting in an increase of flow resistance and a decrease of permeability. The results provide a new pore morphology characterization method for digital rock and help to understand the flow mechanism of hydrocarbons in complex pore networks.

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Section: Materials and Methodsmentioning

confidence: 99%

Influence of Pore Morphology on Permeability through Digital Rock Modeling: New Insights from the Euler Number and Shape Factor

Qin

Xia

et al. 2022

Energy Fuels

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“…Además del filtro descrito, hemos utilizado algunas operaciones propias de la Morfología Matemática (MM), que es una ciencia relacionada con el análisis de la forma y estructura de los objetos presentes en las imágenes, mediante el uso de un objeto de referencia llamado Elemento Estructural o Estructurante [14]. La utilidad de la MM se potencia cuando la iluminación de las imágenes no es uniforme, como es el caso de las imágenes de retinas (fondo de ojo) [15].…”

Section: Materiales Y Métodos a Procesamiento Digital De Imágenesunclassified

“…Para umbralar las imágenes elegimos el método de Otsu, debido a que es un método no paramétrico y no supervisado que selecciona el umbral óptimo a partir de un criterio discriminante que busca maximizar la separabilidad de las clases (los objetos de interés y el fondo de la imagen) implícitas en imágenes en escala de grises [18]. El método de Otsu determina las dos clases c 0 (fondo) y c 1 (objetos) a partir de un umbral S. La clase relacionada con el fondo consiste en todos los pixeles con un nivel de gris menor que el umbral S, mientras que la clase relacionada con los objetos contiene todos los pixeles con niveles de gris mayores que S [14]. De esta forma, si L es el número de niveles de gris de la imagen, las clases exhiben esta distribución:…”

Section: Materiales Y Métodos a Procesamiento Digital De Imágenesunclassified

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Detection of Age-Related Macular Degeneration in Fundus Images by an Associative Classifier

Floriano

Yáñez-Márquez²,

Camacho-Nieto

2018

IEEE Latin Am. Trans.

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In this paper we propose the application of a novel associative classifier, the Heaviside's Classifier, for the early detection of Age-Related Macular Degeneration un retinal fundus images. Retinal fundus images are, first, processed by a simple method based on the Homomorphic filtering and some basic mathematical morphology operations; in the second phase we extract relevant features of the images using the Zernike moments, we also apply a feature selection method to select the best features from the original features set. The dataset created from the images with the best features are used to train and test a new classification model whose learning and classification phases are based on the Heaviside's Function. Experimental results show that our method is capable to achieve an accuracy value about the 94.12% with a dataset created from images belonging to famous image repositories.

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“…The combination of Top-Hat transform and Otsu thresholding has been used before on medical image segmentation using grayscale images with uneven illumination [52]. In this step, they are implemented to detect drusen in each of the averaged en face images contained in each slab.…”

Section: Drusen Segmentationmentioning

confidence: 99%

Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography

Zhao¹,

Camino²,

Wang³

et al. 2017

Biomed. Opt. Express

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We introduce a method to automatically detect drusen in dry age-related macular degeneration (AMD) from optical coherence tomography with minimum need for layer segmentation. The method is based on the detection of drusen areas in C-scans at certain distances above the Bruch's membrane, circumventing the difficult task of pathologic retinal pigment epithelium segmentation. All types of drusen can be detected, including the challenging subretinal drusenoid deposits (pseudodrusen). The high sensitivity and accuracy demonstrated here shows its potential for detection of drusen onset in early AMD.

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A new approach for the detection of mammary calcifications by using the white Top-Hat transform and thresholding of Otsu

Cited by 14 publications

References 23 publications

Influence of Pore Morphology on Permeability through Digital Rock Modeling: New Insights from the Euler Number and Shape Factor

Influence of Pore Morphology on Permeability through Digital Rock Modeling: New Insights from the Euler Number and Shape Factor

Detection of Age-Related Macular Degeneration in Fundus Images by an Associative Classifier

Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography

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