Results 21 to 30 of about 16,201 (241)
Robust Superpixel Tracking [PDF]
IEEE Transactions on Image Processing, 2014 While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large appearance change due to factors such as scale, motion, shape deformation, and occlusion. One of the main reasons is the lack of effective image representation schemes to account for appearance ...
Yang, Fan, Lu, Huchuan, Yang, Ming-Hsuan
openaire +2 more sources
Hybrid superpixel segmentation [PDF]
2015 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015 Superpixel over-segment image into meaningful clusters so that pixels in each cluster belong to one object. Many state-of-art superpixel algorithms have to make trade-offs between different concerns. As a result, algorithms that can produce good result in some situations fail in another.
Yu, Y, Lai, S, Liu, Y, Du, T
openaire +2 more sources
, 2021 In the present era, human brain tumor is the extremist dangerous and devil to the human being that leads to certain death. Furthermore, the brain tumor arises more complexity of patients life with time.
K. Islam +5 more
semanticscholar +1 more source
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information
Medical Image Anal., 2022 Dermoscopic images are commonly used in the early diagnosis of skin lesions, and several computational systems have been proposed to analyze them. The segmentation of the lesions is a fundamental step in many of these systems. Therefore, a semi-automatic
E. Santos +6 more
semanticscholar +1 more source
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Superpixels serve as a powerful preprocessing tool in numerous computer vision tasks. By using superpixel representation, the number of image primitives can be largely reduced by orders of magnitudes. With the rise of deep learning in recent years, a few
Hankui Peng +2 more
semanticscholar +1 more source
Superpixel segmentation based on image density
Systems Science & Control Engineering, 2023 Superpixel segmentation can get the middle features in image processing, effectively reduce the dimensionality of the image, and is widely used in image processing fields. To get the regular and compact superpixels in real-time, a superpixel segmentation
Dong-Fang Qiu +3 more
doaj +1 more source
Extended set of superpixel features
Компьютерная оптика, 2021 Superpixel-based image processing and analysis methods usually use a small set of superpixel features. Expanding the description of superpixels can improve the quality of processing algorithms. In the paper, a set of 25 basic superpixel features of shape,
A.A. Egorova, V.V. Sergeyev
doaj +1 more source
Heterogeneous Images Change Detection Based on Iterative Joint Global–Local Translation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Most heterogeneous change detection methods based on transfer learning may not yield satisfactory results due to the lack of comprehensive utilization of the global and local characteristics of the image.
Hao Chen, Fachuan He, Jinming Liu
doaj +1 more source
Self-Adaptive Superpixels Based on Neural Network Models
IEEE Access, 2020 In this paper, the self-adaptive superpixels are generated based on a neural network model. Superpixels are clusters of pixels, which can simplify the expression of images. Superpixels are widely used in the field of video/image processing.
Xiuxiu Bai, Cong Wang, Zhiqiang Tian
doaj +1 more source
PDC: Piecewise Depth Completion utilizing Superpixels [PDF]
International Conference on Intelligent Transportation Systems, 2021 Depth completion from sparse LiDAR and high-resolution RGB data is one of the foundations for autonomous driving techniques. Current approaches often rely on CNN-based methods with several known drawbacks: flying pixel at depth discontinuities ...
Dennis Teutscher +2 more
semanticscholar +1 more source