Zobrazeno 1 - 10
of 1 477
pro vyhledávání: '"texture segmentation"'
Autor:
Yuzhu Wang
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 7, Pp 2055-2071 (2024)
Abstract Rock typing plays a crucial role in describing the heterogeneity of the reservoir. Most of the conventional rock typing methods are implemented to classify the target reservoir into various rock types based on various petrophysical propertie
Externí odkaz:
https://doaj.org/article/2c962109fd424c59b62991f201f4f6a5
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2023, Iss 1, Pp 1-26 (2023)
Abstract This paper investigates deep learning (DL)-based semantic segmentation of textured mosaics. Existing popular datasets for mosaic texture segmentation, designed prior to the DL era, have several limitations: (1) training images are single-tex
Externí odkaz:
https://doaj.org/article/665573eac6504bd7913ba44964b9ad58
Autor:
Guangtao Ge
Publikováno v:
SN Applied Sciences, Vol 5, Iss 6, Pp 1-12 (2023)
Abstract This study presents a new idea for unsupervised texture segmentation from the angle of bionics. According to this idea, a novel approach called “side-by-side superposition unsupervised texture segmentation (SSUTS)” is designed. When doin
Externí odkaz:
https://doaj.org/article/d4b45f935eae4031a18528e4bf35db2d
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3805 (2023)
Skin cancer poses a significant health risk, affecting multiple layers of the skin, including the dermis, epidermis, and hypodermis. Melanoma, a severe type of skin cancer, originates from the abnormal proliferation of melanocytes in the epidermis. C
Externí odkaz:
https://doaj.org/article/17d769e2cb1b4c54af02cb8600005057
Autor:
Sidi Yassine Idrissi
Publikováno v:
Mathematical Modelling and Analysis, Vol 27, Iss 3 (2022)
This paper proposes an efficient method for active unsupervised texture segmentation. A new descriptor for texture features extractions based on Gaussian and mean curvature is constructed. Then the optimization of a functional who uses the R´enyi di
Externí odkaz:
https://doaj.org/article/e82549ccd0af4ebfaf340d10dd1c8ea6
Autor:
R. Kapela
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 68, Iss No. 6, Pp 1503-1511 (2020)
This paper presents a deep learning-based image texture recognition system. The methodology taken in this solution is formed in a bottom-up manner. It means we swipe a moving window through the image in order to categorize if a given region belongs t
Externí odkaz:
https://doaj.org/article/370ead664d6c4677a3b12d69192a35ea
Autor:
Parham Nooralishahi, Gabriel Ramos, Sandra Pozzer, Clemente Ibarra-Castanedo, Fernando Lopez, Xavier P. V. Maldague
Publikováno v:
Drones, Vol 6, Iss 12, p 407 (2022)
The drone-based multi-modal inspection of industrial structures is a relatively new field of research gaining interest among companies. Multi-modal inspection can significantly enhance data analysis and provide a more accurate assessment of the compo
Externí odkaz:
https://doaj.org/article/a4c3d5f52efc43b3ab6cfafd7f4fc4e0
Publikováno v:
Journal of Imaging, Vol 8, Iss 9, p 244 (2022)
Fuzzy gray-level aura matrices have been developed from fuzzy set theory and the aura concept to characterize texture images. They have proven to be powerful descriptors for color texture classification. However, using them for color texture segmenta
Externí odkaz:
https://doaj.org/article/e8936f394cf344ab94f05c81391abde8
Autor:
Mehmet Cem Catalbas
Publikováno v:
Tehnički Vjesnik, Vol 26, Iss 5, Pp 1275-1283 (2019)
In this paper, an adaptive and robust unsupervised texture segmentation algorithm is proposed. One of the novelties of this proposed algorithm is to determine optimal sub-image size by pattern analysis and another one is optimizing segmentation proce
Externí odkaz:
https://doaj.org/article/8a8cf229aa0e4ec1a6dcdb9ca5ac09b5