Results 51 to 60 of about 6,095 (211)

Superpixel Segmentation Algorithm by Spatial Constrained Density Clustering

Journal of Harbin University of Science and Technology, 2020
The superpixel segmentation is an important pre-processing step in computer image processing. Thetraditional superpixel segmentation algorithm based on density clustering is better for boundary processing，but the resulting superpixel shape is irregular ...
HAN Jian-hui, TANG Jun-chao
doaj   +1 more source

Quantitative Metrics for Edge Bundling of Network Visualizations

Computer Graphics Forum, EarlyView.
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger, J. Miller, A. Maftei, S. G. Kobourov   +3 more
wiley   +1 more source

Superpixel Sampling Networks [PDF]

, 2018
Superpixels provide an efficient low/mid-level representation of image data, which greatly reduces the number of image primitives for subsequent vision tasks. Existing superpixel algorithms are not differentiable, making them difficult to integrate into otherwise end-to-end trainable deep neural networks.
Varun Jampani, Deqing Sun, Ming-Yu Liu 0001, Ming-Hsuan Yang 0001, Jan Kautz   +4 more
openaire   +3 more sources

Color detection of printing based on improved superpixel segmentation algorithm

Scientific Reports
We propose an improved superpixel segmentation algorithm based on visual saliency and color entropy for online color detection in printed products. This method addresses the issues of low accuracy and slow speed in detecting color deviations in print ...
Hongwu Zhan, Yuhao Shou, Lidu Wen, Fang Xu, Libin Zhang   +4 more
doaj   +1 more source

Semantic Segmentation of High-Resolution Remote Sensing Imagery via an End-to-End Graph Attention Network With Superpixel Embedding

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic segmentation of high-resolution remote sensing images is crucial in ecological evaluation, natural resource surveys, etc. Compared with CNN-based and transformer-based methods, graph neural networks (GNNs) have drawn increasing attention because
Ying Tang, Xiangyun Hu, Tao Ke, Mi Zhang
doaj   +1 more source

Multiscale Superpixel-Based Fine Classification of Crops in the UAV-Based Hyperspectral Imagery

Remote Sensing, 2022
As an effective approach to obtaining agricultural information, the remote sensing technique has been applied in the classification of crop types. The unmanned aerial vehicle (UAV)-manned hyperspectral sensors provide imagery with high spatial and high ...
Shuang Tian, Qikai Lu, Lifei Wei
doaj   +1 more source

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner, Judith Atieno, Sara Blake, Marzena Krysinska‐Kaczmarek, Chris Brien, Mohsen Khani, Kenneth Clarke, Darren Plett, Jennifer Davidson, Bettina Berger   +9 more
wiley   +1 more source

Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification †

Remote Sensing, 2017
Recently, superpixel segmentation has been proven to be a powerful tool for hyperspectral image (HSI) classification. Nonetheless, the selection of the optimal superpixel size is a nontrivial task.
Shuzhen Zhang, Shutao Li, Wei Fu, Leiyuan Fang   +3 more
doaj   +1 more source

Improved Cost Aggregation Algorithm for Fast Stereo Matching [PDF]

Jisuanji gongcheng, 2019
For the cost aggregation problem in stereo matching,an improved cost aggregation algorithm is proposed.The image is segmented by superpixel and the Minimum Spanning Tree(MST) is established.Then,use tree filter for cost aggregation to generate superpixel
YANG Gang, JIN Tao, WANG Dawei, CAO Jingjin, ZHANG Na, YAN Biwu, LI Tao, CHENG Yuan
doaj   +1 more source

AI‐Enhanced System for Diabetic Foot Ulcer Localization and Classification Using Multi‐Scale Neural CNN Model

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Diabetic foot ulcers (DFUs), which heal slowly because of inadequate blood supply, are among the serious infections and chronic foot problems that can result from diabetes mellitus (DM). The primary consequence of DFU, which can result in amputation if left untreated.
Md. Nur‐A‐Alam, Md. Anwar Hussen Wadud, Mostofa Kamal Nasir, Khandaker Mohammad Mohi Uddin   +3 more
wiley   +1 more source