Digital image decomposition and contrast enhancement using high-dimensional model representation

Tunga, Burcu; Kocanaogullari, Aziz

doi:10.1007/s11760-017-1158-8

Cited by 21 publications

(4 citation statements)

References 29 publications

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“…Sabit terimin belirlenmesi amacıyla bulunacaktır. Daha üst basamaktan terimler de benzer operatörler tanımlanarak bulunabilir [11], [14], [16]. YBMG açılımı daha önce belirtildiği gibi…”

Section: Ybmg Kullanılarak Kontrast Artırmaunclassified

“…Renkli bir görsel YBMG açılımı kullanılarak sabit, tek değişkenli, iki değişkenli ve üç değişkenli bileşenlerin toplamı olarak ifade edilebilir [16], [17]. Burada sabit bileşen ve birli bileşenler düşük frekanslı bileşenlerdir.…”

Section: Ybmg Kullanılarak Kontrast Artırmaunclassified

“…İki değişkenli bileşenler görselin ana hatlarının bilgisini tutarken, üç değişkenli bileşenler ise bu hatların etrafındaki yüksek frekanslı bileşenlerin bilgisini saklamaktadır. Bu sayede bir renkli görseldeki kontrastı artırmak için iki ve üç değişkenli bileşenler orijinal görselin üzerine eklenir [16], [17]. YBMG bileşenleri kullanılarak kontrastı arttırılmış bir deri görseli ve orijinal hali Şekil 2'de verilmektedir.…”

Section: Ybmg Kullanılarak Kontrast Artırmaunclassified

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Classification of skin lesions using convolutional neural networks

Bilginer¹,

Tunga²,

Demirer³

2022

Pamukkale J Eng Sci

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Section: Ybmg Kullanılarak Kontrast Artırmaunclassified

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Classification of skin lesions using convolutional neural networks

Bilginer¹,

Tunga²,

Demirer³

2022

Pamukkale J Eng Sci

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“…To analyse the data on seismic oscillations, we will use the statistical methods, which are common in astrophysics and in the treatment of the geomagnetometric observations [27][28][29][30][31][32][33][34][35][36].…”

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confidence: 99%

Constructing predictive models for seismic oscillation parameters using covariance functions and Doppler effect phenomena: A case study of InSight mission V2 data

Skeivalas,

Paršeliūnas,

Šlikas

et al. 2024

EPL

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An ability to construct predictive models for identifying seismic oscillation parameters by using the mathematics of covariance functions and Doppler effect phenomena is examined in this work. In the calculations, the Mars seismic oscillations measurement data from InSight Mission V2, observed in the months 05, 06 and 07 of 2019, was used. To analyze the observation data arrays the Doppler phenomena and the expressions of covariance functions were employed. The seismic oscillations trend's intensity vectors were assessed by least squares method, and the random errors of measurements at the stations were eliminated partially as well. The estimates of the vector's auto-covariance and cross-covariance functions were derived by altering the quantization interval on the general time scale while varying the magnitude of the seismic oscillation vector on the same time scale. To detect the mean values of z – the main parameter of Doppler expression - we developed formula by involving the derivatives of cross-covariance functions of a single vector and algebraic sum of the relevant vectors.

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Content Based Image Retrieval Using HDMR Constant Term Based Clustering

Karcılı

Tunga

2022

Springer Proceedings in Mathematics &Amp; Statistics

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Digital image decomposition and contrast enhancement using high-dimensional model representation

Cited by 21 publications

References 29 publications

Classification of skin lesions using convolutional neural networks

Classification of skin lesions using convolutional neural networks

Constructing predictive models for seismic oscillation parameters using covariance functions and Doppler effect phenomena: A case study of InSight mission V2 data

Content Based Image Retrieval Using HDMR Constant Term Based Clustering

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