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Anomaly detection of hyperspectral images based on improved isolation forest algorithm. [PDF]
Sci RepLi A.
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Detection of Disease Progression Using Widefield Optical Coherence Tomography in the Nonhuman Primate Experimental Glaucoma Model. [PDF]
Transl Vis Sci TechnolVenkata Srinivasan V +3 more
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ESNet: An Efficient Framework for Superpixel Segmentation
IEEE Transactions on Circuits and Systems for Video TechnologySuperpixel segmentation divides an original image into mid-level regions to reduce the number of computational primitives for subsequent tasks. The two-stage approaches work better but have high computational complexity among the existing deep superpixel
Tao Ruan, Yao Zhao, Shikui Wei
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Hierarchical Superpixel Segmentation via Structural Information Theory
SDMSuperpixel segmentation is a foundation for many higher-level computer vision tasks, such as image segmentation, object recognition, and scene understanding.
Minhui Xie +7 more
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Vine Spread for Superpixel Segmentation
IEEE Transactions on Image Processing, 2023Superpixel is the over-segmentation region of an image, whose basic units “pixels” have similar properties. Although many popular seeds-based algorithms have been proposed to improve the segmentation quality of superpixels, they still suffer from the ...
Pei Zhou, Xuejing Kang, Anlong Ming
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SET: Superpixel Embedded Transformer for Skin Lesion Segmentation
Medical Image AnalysisAccurate skin lesion segmentation is crucial for the early detection and treatment of skin cancer. Despite significant advances in deep learning, current segmentation methods often struggle to fully capture global contextual information and maintain the ...
Xiaoying Tang
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Variational Fuzzy Superpixel Segmentation
IEEE Transactions on Fuzzy Systems, 2022This article presents a novel variational model based on fuzzy clustering and total variation regularization for superpixel segmentation. Compared with the classical hard-labeled methodologies, our approach gives soft results via the fuzzy membership ...
Tsz-Ching Ng, Siu-Kai Choy
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SSMamba: Superpixel Segmentation With Mamba
IEEE Signal Processing LettersDeep convolutional networks have achieved remarkable success in superpixel segmentation. However, they only focus on local features ignoring global attributes. The visual Mamba demonstrates an exceptional capability to capture long-range dependencies and
Xiao-Hong Jia +4 more
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Image Superpixel Segmentation Based on Hierarchical Multi-Level LI-SLIC
Optics and Laser Technology, 2021In computer vision, superpixel segmentation has been widely used as a very important preprocessing to reduce the number of image primitives for subsequent image processing tasks.
Shuanhu Di, Yuqian Zhao, Miao Liao
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