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pro vyhledávání: '"Contourlet"'
Autor:
Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Yuwei Guo, Puhua Chen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4478-4491 (2024)
Complex-valued convolutional neural networks (CV-CNN) have recently gained recognition in feature representation learning. It implements the repeated application of the operations in convolution, local average pooling, and the absolute value of the r
Externí odkaz:
https://doaj.org/article/1dfeb8782291467e80e862cc0c5a7fdf
Akademický článek
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Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Full-field optical angiography (FFOA)—a real-time non-invasive imaging technique for extracting biological blood microcirculation information—contributes to an in-depth understanding of the functional and pathological changes of biological tissue
Externí odkaz:
https://doaj.org/article/e66bb2083e4e4e56b007edb050116cdc
Publikováno v:
Buildings, Vol 14, Iss 9, p 2657 (2024)
Ground-penetrating radar (GPR) is widely employed as a non-destructive tool for subsurface detection of transport infrastructures. Typically, data collected by high-frequency antennas offer high resolution but limited penetration depth, whereas data
Externí odkaz:
https://doaj.org/article/1ecaf57431e14bfa8a46a17f017c1e20
Publikováno v:
Information Processing in Agriculture, Vol 10, Iss 2, Pp 240-255 (2023)
Wheat ear counting is a prerequisite for the evaluation of wheat yield. A wheat ear counting method based on frequency domain decomposition is proposed in this study to improve the accuracy of wheat yield estimation. The frequency domain decompositio
Externí odkaz:
https://doaj.org/article/b51c654d008f426883551fb5b582eed4
Publikováno v:
PeerJ Computer Science, Vol 10, p e1817 (2024)
The most direct way to find the electrical switchgear fault is to use infrared thermal imaging technology for temperature measurement. However, infrared thermal imaging images are usually polluted by noise, and there are problems such as low contrast
Externí odkaz:
https://doaj.org/article/570e1f506baf46069026aff3c2e75985
Autor:
Sepideh Vafaie, Eysa Salajegheh
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 7, Iss 2, Pp 1-42 (2023)
This study presents a new approach based on shearlet transform for the first time to detect damages, and compare it with the wavelet, Laplacian pyramid, curvelet, and contourlet transforms to specify different types of defects in plate structures. Wa
Externí odkaz:
https://doaj.org/article/fbb421bed5bf4852a0a0439c36c70457
Autor:
Navid Khalili Dizaji, Mustafa Doğan
Publikováno v:
Algorithms, Vol 17, Iss 3, p 130 (2024)
Brain tumors are one of the deadliest types of cancer. Rapid and accurate identification of brain tumors, followed by appropriate surgical intervention or chemotherapy, increases the probability of survival. Accurate determination of brain tumors in
Externí odkaz:
https://doaj.org/article/50e23f74176b4dbdac7effd39ce755c1
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 2, Pp 655-668 (2023)
In radiography, an antiscatter grid is a well-known device for eliminating unexpected x-ray scatter. We investigate a new stationary grid artifact suppression method based on a nonsubsampled contourlet transform (NSCT) incorporated with Gaussian band
Externí odkaz:
https://doaj.org/article/d4b86c1b10604bda91cc012a0dd8d2a9
Publikováno v:
IEEE Access, Vol 11, Pp 129321-129330 (2023)
Cell nuclei segmentation, the task of identifying the precise boundary of the nucleus in each cell in a histopathology image, is a rudimentary task prior to single-cell analysis. While addressing this task, two of the major challenges are the precise
Externí odkaz:
https://doaj.org/article/d1fb7319dba643b8a575e0d33a233a40