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autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation
IEEE Transactions on Medical Imaging, 2023Skin lesion segmentation from dermoscopic images plays a vital role in early diagnoses and prognoses of various skin diseases. However, it is a challenging task due to the large variability of skin lesions and their blurry boundaries.
Zhonghua Wang, Junyan Lyu, Xiaoying Tang
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Bayesian Adaptive Superpixel Segmentation
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Superpixels provide a useful intermediate image representation. Existing superpixel methods, however, suffer from at least some of the following drawbacks: 1) topology is handled heuristically; 2) the number of superpixels is either predeļ¬ned or estimated at a prohibitive cost; 3) lack of adaptiveness.
Roy Uziel, Meitar Ronen, Oren Freifeld
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Multifocus image fusion using superpixel segmentation and superpixel-based mean filtering
Applied Optics, 2016To achieve better performance in multifocus image fusion problems, a new regional approach based on superpixels and superpixel-based mean filtering is proposed in this paper. First, a fast and effective segmentation method is adopted to generate the superpixels over a clarity-enhanced average image.
Junwei, Duan +2 more
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Adaptive high-precision superpixel segmentation
Multimedia Tools and Applications, 2018Superpixel as a fundamental processing unit can significantly reduce the computational complexity of subsequent computer vision tasks. In this paper, an Adaptive High-Precision (AHP) superpixel segmentation algorithm is proposed. Three major schemes are proposed in this algorithm.
Xinlin Xie +3 more
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SymmSLIC: Symmetry Aware Superpixel Segmentation
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017Over-segmentation of an image into superpixels has become an useful tool for solving various problems in computer vision. Reflection symmetry is quite prevalent in both natural and man-made objects. Existing algorithms for estimating superpixels do not preserve the reflection symmetry of an object which leads to different sizes and shapes of ...
Rajendra Nagar, Shanmuganathan Raman
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IEEE Transactions on Geoscience and Remote Sensing
Superpixel segmentation algorithms are predominently based on simple linear iterative clustering (SLIC), and treat homogeneous and complex regions equally.
Jinhong Ren +8 more
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Superpixel segmentation algorithms are predominently based on simple linear iterative clustering (SLIC), and treat homogeneous and complex regions equally.
Jinhong Ren +8 more
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Image Segmentation by Bilayer Superpixel Grouping
2013 2nd IAPR Asian Conference on Pattern Recognition, 2013The task of image segmentation is to group image pixels into visually meaningful objects. It has long been a challenging problem in computer vision and image processing. In this paper we address the segmentation as a super pixel grouping problem. We propose a novel graph-based segmentation framework which is able to integrate different cues from ...
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An Extensive Survey on Superpixel Segmentation: A Research Perspective
Archives of Computational Methods in Engineering, 2023Prakash J, B. V. Kumar
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Superpixel segmentation with squeeze-and-excitation networks
Signal, Image and Video Processing, 2022Jingjing Wang +6 more
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