Ship recognition method combined with image segmentation and deep learning feature extraction in video surveillance

X Cao, S Gao, L Chen, Y Wang - Multimedia Tools and Applications, 2020 - Springer
To solve the problem of ship recognition in video images, a ship recognition method based
on Morphological Watershed image segmentation and Zemike moment is proposed. Firstly …

[PDF][PDF] Image denoising based on implementing threshold techniques in multi-resolution wavelet domain and spatial domain filters

AA Ismael, M Baykara - Traitement du Signal, 2022 - researchgate.net
Accepted: 26 July 2022 Nowadays, a digital image is often easily corrupted due to different
forms of noise and complex processes resulting from the acquisition, compression …

Denoising of MRI images using curvelet transform

R Biswas, D Purkayastha, S Roy - Advances in Systems, Control and …, 2018 - Springer
Most of the medical images are usually affected by different types of noises during
acquisition, storage, and transmission. These images need to be free from noise for better …

Image denoising based on wavelet transform using Visu thresholding technique

P Koranga, G Singh, D Verma… - International …, 2018 - search.proquest.com
The image often contains noises due to several factors such as a problem in devices or due
to an environmental problem etc. Noise is mainly undesired information, which degrades the …

Enhancement of intra-cardiac flow-field data using adaptive Kernel filtering

S Banerjee, A Ghosh, P Pal - Scientific Reports, 2023 - nature.com
A method of determining the optimal kernel size for filtering noise in vortex dominated flow-
fields, as found in the cardiac chambers is presented in this paper. Using synthetic flow …

Image denoising in wavelet domain based on thresholding with applying wiener filter

BM Ferzo, FM Mustafa - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
An image is often corrupted with noise throughout procurement, compression, transmission,
storage and retrieval processes. These effects are leading to distortion and loss of image …

[PDF][PDF] Image Enhancement based on the Histogram Equalization and Multiresolution Discrete Stationary Wavelet Transform

FM Mustafa - Academic Journal of Nawroz University, 2022 - pdfs.semanticscholar.org
In recent years, due to the tremendous development that took place on the Internet and its
applications in the aspects of human life, the demands of using digital images have also …

Intervertebral disc segmentation and diagnostic application based on wavelet denoising and AAM model in human spine image

Y Yang, J Wang, C Xu - Journal of Medical Systems, 2019 - Springer
To solve the problem of location and segmentation of intervertebral discs in spinal MRI
images, a method of intervertebral disc segmentation and degeneration classification …

A hybrid medical image denoising based on block matching 3D collaborative filtering

A Annavarapu, S Borra, VBR Dinnepu, MP Mishra - SN Computer Science, 2023 - Springer
To mitigate the noise effects without information loss at the edges of the radiological images,
a well-designed preprocessing algorithm is required to assist the radiologists. This paper …

A noble approach for noise removal from brain image using Region Filling

D Deb, B Dutta, S Roy - 2014 IEEE International Conference on …, 2014 - ieeexplore.ieee.org
In today's world, one of the reason in rise of mortality among the people is brain cancer.
Brain tumour is the main cause of brain cancer. A tumour can be defined as any mass …