Results 21 to 30 of about 26,290 (260)

Differentiating Thick Clouds From Thin Clouds by Using Intensity Inhomogeneity

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Clouds are usually present in optical satellite images, yet they occlude the ground truth, making it difficult to interpret satellite images. Moreover, distinguishing between areas with thick clouds and thin clouds is challenging when using the existing ...
Yishuo Huang, Bon A Dewitt
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Non‐local weighted fuzzy energy‐based active contour model with level set evolution starting with a constant function

IET Image Processing, 2019
In the traditional active contour models, global region‐based methods fail to segment images with intensity inhomogeneity, and local region‐based methods are sensitive to initial contour.
Hongli Lv, Shujun Fu, Caiming Zhang, Xuya Liu   +3 more
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Active Contour Model Based on Local Entropy Fitting Energy and Global Information [PDF]

Jisuanji gongcheng, 2019
Active contour model is very important in image segmentation.However,when dealing with images with intensity inhomogeneity,this model is sensitive to the initial contour position,and its cumbersome selection and multiple iterations can also cause ...
WANG Yan, DUAN Yaxi
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MR image intensity inhomogeneity correction

Journal of Physics: Conference Series, 2015
MR technology is one of the best and most reliable ways of studying the brain. Its main drawback is the so-called intensity inhomogeneity or bias field which impairs the visual inspection and the medical proceedings for diagnosis and strongly affects the quantitative image analysis. Noise is yet another artifact in medical images.
Mirela (Vişan) Pungǎ, Simona Moldovanu, Luminita Moraru   +2 more
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A Novel Active Contour Model Guided by Global and Local Signed Energy-Based Pressure Force

IEEE Access, 2020
Active contour models (ACMs) have been widely applied in the field of image segmentation. However, it is still very challenging to construct an efficient ACM to segment images with intensity inhomogeneity.
Huaxiang Liu, Jiangxiong Fang, Zijian Zhang, Yongcheng Lin   +3 more
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An efficient similarity-based level set model for medical image segmentation

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2016
It is usually difficult to correctly segment medical images with intensity inhomogeneity, which is of great significance in understanding of medical images. The local image intensity features play a vital role in accurately segmenting medical images with
Haiping YU, Fazhi HE, Yiteng PAN, Xiao CHEN   +3 more
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Image Segmentation Using an Active Contour Model Based on the Difference Between Local Intensity Averages and Actual Image Intensities

IEEE Access, 2020
The local intensity fitting active contour models can handle inhomogeneous images, but they suffer from the shortcomings of poor performance in segmenting images with severe intensity inhomogeneity and being sensitive to initializations.
Xiaoying Shan, Xiaoliang Gong, Yingchun Ren, Asoke K. Nandi   +3 more
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Magnetic Resonance Imaging Segmentation via Weighted Level Set Model Based on Local Kernel Metric and Spatial Constraint

Entropy, 2021
Magnetic resonance imaging (MRI) segmentation is a fundamental and significant task since it can guide subsequent clinic diagnosis and treatment. However, images are often corrupted by defects such as low-contrast, noise, intensity inhomogeneity, and so ...
Jianhua Song, Zhe Zhang
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Spatial resolution and maximum compensation factor of two-dimensional selective excitation pulses for MRI of objects containing conductive implants

AIP Advances, 2017
A quantitative diagnosis using magnetic resonance imaging (MRI) can be disturbed by radiofrequency (RF) field inhomogeneity induced by the conductive implants.
Taeseong Woo, Dongmin Kim, Takao Someya, Masaki Sekino   +3 more
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A fast level set image segmentation driven by a new region descriptor

IET Image Processing, 2021
In order to deal with the intensities inhomogeneities and to overcome the effect of different types of noise in the image segmentation process, we have formulated a new level set function to implement a fast and robust active contour model.
Abdelkader Birane, Latifa Hamami
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