Results 41 to 50 of about 4,217 (208)

Superpixels, Occlusion and Stereo [PDF]

2011 International Conference on Digital Image Computing: Techniques and Applications, 2011
Graph-based energy minimization is now the state of the art in stereo matching methods. In spite of its outstanding performance, few efforts have been made to enhance its capability of occlusion handling. We propose an occlusion constraint, an iterative optimization strategy and a mechanism that proceeds on both the digital pixel level and the super ...
Yuhang Zhang 0001, Richard I. Hartley, John Mashford, Stewart Burn   +3 more
openaire   +1 more source

Mapping Dongting Lake Wetland Utilizing Time Series Similarity, Statistical Texture, and Superpixels With Sentinel-1 SAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Wetland is of significant ecological value, which is very important and challenging for large-scale mapping. Sentinel-1 can continuously record wetland changes with its all-day, all-weather working capability.
Hui Yang, Xiuguo Liu, Qihao Chen, Yuanye Cao   +3 more
doaj   +1 more source

Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network

Remote Sensing, 2022
Synthetic Aperture Radar (SAR) is the primary equipment used to detect oil slicks on the ocean’s surface. On SAR images, oil spill regions, as well as other places impacted by atmospheric and oceanic phenomena such as rain cells, upwellings, and internal
Xiaojian Liu, Yansheng Li, Xinyi Liu, Huimin Zou   +3 more
doaj   +1 more source

Sizes of Superpixels and their Effect on Interactive Segmentation [PDF]

, 2021
Semi-automated segmentation, also known as interactive image segmentation, is an algorithm that extracts a region of interest (ROI) from an image based on user input. The said algorithm will be fed the user input information repeatedly until the required
Kok, Luong Goh, Giap, Weng Ng, Soo, See Chai, Muzaffar Hamzah   +3 more
core   +3 more sources

Research on Dynamic Graph Target Tracking Method Fusing the Color Local Entropy

ITM Web of Conferences, 2018
Focusing on the problems of target deformation, occlusion, background interference and rotation, a robust video tracking method is proposed in this paper, which is based on the superpixels and dynamic graph matching. Firstly, to make the superpixels edge
Zhang Junchang, Xia Chenyang, Hu Leili, Zhou Yanling   +3 more
doaj   +1 more source

Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Classification techniques applied to hyperspectral images are very useful for lithologic discrimination and geological mapping. Classifiers are often applied either to all spectral channels or only to absorption spectral channels.
Yulei Tan, Laijun Lu, Lorenzo Bruzzone, Renchu Guan, Zhiyong Chang, Chen Yang   +5 more
doaj   +1 more source

Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification

Remote Sensing
Superpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency.
Boce Chu, Mengxuan Zhang, Kun Ma, Long Liu, Junwei Wan, Jinyong Chen, Jie Chen, Hongcheng Zeng   +7 more
doaj   +1 more source

Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks

Bioengineering, 2022
Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. Most lung field segmentation methods reduce the image size to speed up the subsequent processing time.
Chien-Cheng Lee, Edmund Cheung So, Lamin Saidy, Min-Ju Wang   +3 more
doaj   +1 more source

Superpixel Embedding Network

IEEE Transactions on Image Processing, 2020
Superpixel segmentation is a fundamental computer vision technique that finds application in a multitude of high level computer vision tasks. Most state-of-the-art superpixel segmentation methods are unsupervised in nature and thus cannot fully utilize frequently occurring texture patterns or incorporate multiscale context.
Utkarsh Gaur, B. S. Manjunath
openaire   +6 more sources

Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua, Cong Zhang, Wen Xie, Xiaomin Jin   +3 more
doaj   +1 more source