Results 201 to 210 of about 986,520 (234)

Scene shape priors for superpixel segmentation

2009 IEEE 12th International Conference on Computer Vision, 2009
Unsupervised over-segmentation of an image into super-pixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feature vectors and as a starting point for the final segmentation. In this paper we investigate incorporating a priori information into superpixel segmentations.
Alastair Philip Moore, Simon J. D. Prince, Jonathan Warrell, Umar Mohammed, Graham Jones   +4 more
openaire   +2 more sources

Adaptive high-precision superpixel segmentation

Multimedia Tools and Applications, 2018
Superpixel 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, Gang Xie 0001, Xinying Xu, Lei Cui 0006   +3 more
openaire   +1 more source

Image Segmentation by Bilayer Superpixel Grouping

2013 2nd IAPR Asian Conference on Pattern Recognition, 2013
The 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 ...
openaire   +2 more sources

SymmSLIC: Symmetry Aware Superpixel Segmentation

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
Over-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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4D Light Field Superpixel and Segmentation

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Superpixel segmentation of 2D image has been widely used in many computer vision tasks. However, limited to the Gaussian imaging principle, there is not a thorough segmentation solution to the ambiguity in defocus and occlusion boundary areas. In this paper, we consider the essential element of image pixel, i.e., rays in the light space and propose ...
Hao Zhu 0005, Qi Zhang 0029, Qing Wang 0006   +2 more
openaire   +2 more sources

Fast Superpixel Segmentation with Deep Features

2019
In this paper, we propose a superpixel segmentation method which utilizes extracted deep features along with the combination of color and position information of the pixels. It is observed that the results can be improved significantly using better initial seed points.
Mubinun Awaisu, Liang Li 0039, Junjie Peng, Jiawan Zhang   +3 more
openaire   +2 more sources

SAR Image Segmentation Based on Complicated Region-Sensitive Adaptive Superpixel Generation and Hybrid Edge Correction

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.
Jin-Hong Ren, Rong-Hua Shang, Jiansheng Chen, Wei-Tong Zhang, Jie Feng, Meng-Meng Liu, Chao Wang, Songhua Xu, Rustam Stolkin   +8 more
semanticscholar   +1 more source

Motion segmentation with occlusions on the superpixel graph

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009
We present a motion segmentation algorithm that partitions the image plane into disjoint regions based on their parametric motion. It relies on a finer partitioning of the image domain into regions of uniform photometric properties, with motion segments made of unions of such “superpixels.” We exploit recent advances in combinatorial graph optimization
Alper Ayvaci, Stefano Soatto
openaire   +2 more sources

Superpixel-Guided Multi-Type Rail Segmentation via Contextual Information Aggregation

IEEE transactions on intelligent transportation systems (Print)
Vision-based anomaly inspection plays a crucial role in the efficient maintenance of millions of kilometers of railway, with rail segmentation, a key step in such anomaly detection for providing localization prior.
Xuefeng Ni, Paul W. Fieguth, Ziji Ma, Bo Shi, Yuan Qiu, Yu-Hao Chen, Hongli Liu   +6 more
semanticscholar   +1 more source

An Extensive Survey on Superpixel Segmentation: A Research Perspective

Archives of Computational Methods in Engineering, 2023
P. J, B. V. Kumar
semanticscholar   +1 more source