A deep learning method for change detection in synthetic aperture radar images
With the rapid development of various technologies of satellite sensor, synthetic aperture
radar (SAR) image has been an import source of data in the application of change detection …
radar (SAR) image has been an import source of data in the application of change detection …
Gas sensing technology for meat quality assessment: A review
X Li, B Wang, C Yi, W Gong - Journal of Food Process …, 2022 - Wiley Online Library
Meat is rich in many nutritional elements and is one of the most basic foods for human
beings. The demand for meat is increasing year by year, but at the same time, meat is highly …
beings. The demand for meat is increasing year by year, but at the same time, meat is highly …
Method of famous tea sprout identification and segmentation based on improved watershed algorithm
L Zhang, L Zou, C Wu, J Jia, J Chen - Computers and Electronics in …, 2021 - Elsevier
In the automatic intelligent picking of famous tea sprouts, the images obtained by the robot
vision system have the following problems: the highlighted surface of a tea sprout leads to …
vision system have the following problems: the highlighted surface of a tea sprout leads to …
A multiscale self-attention deep clustering for change detection in SAR images
Synthetic aperture radar (SAR) image change detection (CD) is an important application in
the field of remote sensing. Due to the lack of labeled data especially in the pixelwise task, it …
the field of remote sensing. Due to the lack of labeled data especially in the pixelwise task, it …
MRI imaging, comparison of MRI with other modalities, noise in MRI images and machine learning techniques for noise removal: a review
Background: Medical imaging is to assume greater and greater significance in an efficient
and precise diagnosis process. Discussion: It is a set of various methodologies which are …
and precise diagnosis process. Discussion: It is a set of various methodologies which are …
Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set
Surveillance in a maritime environment is indispensable in the fight against a wide range of
criminal activities, including pirate attacks, unlicensed fishing trailers and human trafficking …
criminal activities, including pirate attacks, unlicensed fishing trailers and human trafficking …
A new image denoising method based on Gaussian filter
M Wang, S Zheng, X Li, X Qin - 2014 International Conference …, 2014 - ieeexplore.ieee.org
In this paper, we propose a new image denoising method based on Gaussian filter and Non-
local means filter. The new algorithm dealing with the image noise learns from the weighted …
local means filter. The new algorithm dealing with the image noise learns from the weighted …
Prediction of weld area based on image recognition and machine learning in laser oscillation welding of aluminum alloy
Y Ai, C Lei, J Cheng, J Mei - Optics and Lasers in Engineering, 2023 - Elsevier
Laser oscillation welding is an advanced aluminum alloy welding technology which can
effectively reduce weld porosity induced by physical and chemical properties of aluminum …
effectively reduce weld porosity induced by physical and chemical properties of aluminum …
A robust anisotropic diffusion filter with low arithmetic complexity for images
RR Nair, E David, S Rajagopal - EURASIP Journal on Image and Video …, 2019 - Springer
Image smoothing with edge preservation in the presence of outliers is a challenge in image
processing. Anisotropic diffusion smoothing is a well-established paradigm in digital image …
processing. Anisotropic diffusion smoothing is a well-established paradigm in digital image …
A local annular contrast based real-time inspection algorithm for steel bar surface defects
W Li, C Lu, J Zhang - Applied Surface Science, 2012 - Elsevier
A new inspection algorithm based on local annular contrast (LAC) for steel bar surface
defects is presented. Because of little fluctuation of gray value inside the defects, traditional …
defects is presented. Because of little fluctuation of gray value inside the defects, traditional …