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The VMD-scale space based hoyergram and its application in rolling bearing fault diagnosis
Measurement science and technology, 2020The fast kurtogram is one of the most commonly applied methods for detecting rolling element bearing faults, and has been proven to be to be effective in most cases. However, the shortcomings of the kurtosis index limit the robustness and universality of
Wenjie Shi +4 more
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Segmentation of images of yeast cells by scale-space analysis
16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2004We present an hierarchical approach to segment images of yeast cells based on watershed and space-scale analysis. Yeasts belong to an important fungi class and the performance of bioreactors and other chemical processes are greatly influenced by their morphological character.
Marco António Garcia de Carvalho +2 more
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Computer Vision and Pattern Recognition
High-quality semantic segmentation relies on three key capabilities: global context modeling, local detail encoding, and multi-scale feature extraction. However, recent methods struggle to possess all these capabilities simultaneously.
Yunxiang Fu, Meng Lou, Yizhou Yu
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High-quality semantic segmentation relies on three key capabilities: global context modeling, local detail encoding, and multi-scale feature extraction. However, recent methods struggle to possess all these capabilities simultaneously.
Yunxiang Fu, Meng Lou, Yizhou Yu
semanticscholar +1 more source
Image segmentation using Scale-Space Random Walks
2009 16th International Conference on Digital Signal Processing, 2009Many methods for supervised image segmentation exist. One such algorithm, Random Walks, is very fast and accurate when compared to other methods. A drawback to Random Walks is that it has difficulty producing accurate and clean segmentations in the presence of noise.
Richard Rzeszutek +2 more
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Target attack on biomedical image segmentation model based on multi-scale gradients
Information Sciences, 2021Research shows that deep neural networks are vulnerable to adversarial examples due to the highly linear nature of deep neural networks (DNNs). Therefore, adversarial examples involve security of deep learning. However, there is a lack of research on the
Mingwen Shao +3 more
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Scattering Characteristics Guided Network for ISAR Space Target Component Segmentation
IEEE Geoscience and Remote Sensing LettersAffected by the large dynamic range of gray values, strong scattering point edge effect, noise, and clutter, inverse synthetic aperture radar (ISAR) images have problems such as boundary blurring and target discontinuity, which bring great challenges to ...
Fengjun Zhong +5 more
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1995
A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
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A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
openaire +1 more source
Scale Space Technique for Word Segmentation in Handwritten Documents
1999Indexing large archives of historical manuscripts, like the papers of George Washington, is required to allow rapid perusal by scholars and researchers who wish to consult the original manuscripts. Presently, such large archives are indexed manually.
R. Manmatha, Nitin Srimal
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MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation
IEEE International Conference on Bioinformatics and BiomedicineState Space Models (SSMs), particularly Mamba, have demonstrated significant potential in medical image segmentation due to their capability to model long-range dependencies with linear computational complexity.
Chaowei Chen +3 more
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arXiv.org
Skin lesion segmentation is a crucial method for identifying early skin cancer. In recent years, both convolutional neural network (CNN) and Transformer-based methods have been widely applied.
Shun Zou +4 more
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Skin lesion segmentation is a crucial method for identifying early skin cancer. In recent years, both convolutional neural network (CNN) and Transformer-based methods have been widely applied.
Shun Zou +4 more
semanticscholar +1 more source