Results 41 to 50 of about 15,689 (243)

Superpixel Boundary-Based Edge Description Algorithm for SAR Image Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Although various methods can effectively segment synthetic aperture radar (SAR) images, we found that the method combining superpixel and image edge information can get better results. To solve the problem that common SAR image segmentation methods often
Ronghua Shang, Junkai Lin, Licheng Jiao, Xiaohui Yang, Yangyang Li   +4 more
doaj   +1 more source

Superpixel Segmentation of Marine SAR Images Based on Local Fuzzy Iteration and Edge Information for Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Most of the existing superpixel segmentation-based synthetic aperture radar (SAR) target detection algorithms cannot keep the independence of small targets under complex background, especially when the size of the targets varies greatly.
Shichao Chen, Qian Sun, Ming Liu, Mingliang Tao, Yiyang Li, Mengdao Xing   +5 more
doaj   +1 more source

A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation

Applied Sciences, 2019
Superpixel segmentation usually over-segments an image into fragments to extract regional features, thus linking up advanced computer vision tasks. In this work, a novel coarse-to-fine gradient ascent framework is proposed for superpixel-based color ...
Wangpeng He, Cheng Li, Yanzong Guo, Zhifei Wei, Baolong Guo   +4 more
doaj   +1 more source

Image Segmentation of Brain MRI Based on LTriDP and Superpixels of Improved SLIC

Brain Sciences, 2020
Non-uniform gray distribution and blurred edges often result in bias during the superpixel segmentation of medical images of magnetic resonance imaging (MRI).
Yu Wang, Qi Qi, Xuanjing Shen
doaj   +1 more source

Geodesic Distance Histogram Feature for Video Segmentation

, 2017
This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms. The feature is a joint histogram of intensity and geodesic distances, where the geodesic distances are computed as the ...
A Kundu, EH Taralova, F Galasso, P Krähenbühl, T Brox, T Brox, T Leung   +6 more
core   +1 more source

Multiscale Superpixel Segmentation With Deep Features for Change Detection

IEEE Access, 2019
In this paper, a novel change detection technique is proposed based on multiscale superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is designed to achieve superpixel-based change detection, in which the basic analysis unit ...
Yu Lei, Xiaodong Liu, Jiao Shi, Chao Lei, Jing Wang   +4 more
doaj   +1 more source

Semi-Supervised Hierarchical Semantic Object Parsing

, 2017
Models based on Convolutional Neural Networks (CNNs) have been proven very successful for semantic segmentation and object parsing that yield hierarchies of features.
Amindavar, Hamidreza, Mirakhorli, Jalal
core   +1 more source

Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs [PDF]

, 2013
We address the problem of segmenting an image into a previously unknown number of segments from the perspective of graph partitioning. Specifically, we consider minimum multicuts of superpixel affinity graphs in which all affinities between non-adjacent superpixels are negative.
Andres, B., Yarkony, J., Manjunath, B., Kirchhoff, S., Turetken, E., Fowlkes, C., Pfister, H.   +6 more
openaire   +2 more sources

Updated Homogeneity Criteria Based Low-Dimensional Representation for Hyperspectral Unmixing

IEEE Access
Superpixel-based approaches have been proposed for hyperspectral unmixing. The basic assumption of this approach is that the superpixel over-segmentation segments the image into small homogeneous areas.
Jiarui Yi, Huiyi Gao
doaj   +1 more source

Salient Object Segmentation Based on Superpixel and Background Connectivity Prior

IEEE Access, 2018
Salient object segmentation is well known for detecting and segmenting objects using saliency map as input. In this paper, we propose a salient object segmentation method which integrates saliency, superpixel, and background connectivity prior.
Yuzhen Niu, Chaoran Su, Wenzhong Guo
doaj   +1 more source