Results 31 to 40 of about 3,740 (194)
A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection
Remote Sensing, 2022 Hyperspectral image change detection (HSI-CD) is an interesting task in the Earth’s remote sensing community. However, current HSI-CD methods are feeble at detecting subtle changes from bitemporal HSIs, because the decision boundary is partially ...
Qiuxia Li +12 more
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发电技术, 2020 In order to solve the problem that the unmanned aerial vehicle (UAV) image is not clear due to the influence of fog particles, a UAV image dehazing algorithm based on simple linear iterative clustering (SLIC) optimization was proposed.
Sha LIU, Zhe SUN, Zifeng QIU, Yan HU
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Superpixel-based segmentation of muscle fibers in multi-channel microscopy [PDF]
, 2016 Background Confetti fluorescence and other multi-color genetic labelling strategies are useful for observing stem cell regeneration and for other problems of cell lineage tracing.
Heemskerk, Johannes Antonius +3 more
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Image Segmentation Based on Super-pixel and Improved Iterated Graph Cut Algorithm [PDF]
Jisuanji gongcheng, 2016 Based on the classical graph cut theory,an image segmentation algorithm using super-pixel technique and improved iterated Graph cut algorithm is proposed.The super-pixel representation with the edges of foreground objects well preserved is obtained ...
DAI Qingyan,ZHU Zhongjie,DUAN Zhiyong,LI Weijie
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A novel technique for analysing histogram equalized medical images using superpixels
Computer Assisted Surgery, 2019 We present a novel technique to distinguish between an original image and its histogram equalized version. Histogram equalization and superpixel segmentation such as SLIC (simple linear iterative clustering) are very popular image processing tools. Based
Li Yao, Sohail Muhammad
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A Multi-scale Superpixels Saliency Detection Algorithm [PDF]
Jisuanji gongcheng, 2016 Aiming at the deficiency of blockiness produced by using the contrast between regions for saliency detection,a multi-scale superpixel saliency detection algorithm is proposed.The algorithm uses a Simple Linear Iterative Clustering(SLIC) superpixel ...
WANG Gang,WANG Xiaodong,CHEN Chao,WANG Chaolin
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Enhanced Leaf Disease Segmentation Using U-Net Architecture for Precision Agriculture: A Deep Learning Approach. [PDF]
Food Sci NutrThis study proposes a deep learning‐based approach for leaf disease identification using the U‐Net architecture for precise segmentation. By training on a dataset of 7056 annotated leaf images, the model effectively distinguishes between healthy and diseased regions, achieving 99.70% training accuracy and 98.99% validation accuracy in 40 epochs.
Singh G +8 more
europepmc +2 more sources
Image Steganography by Modified Simple Linear Iterative Clustering
International Journal of Innovative Technology and Exploring Engineering, 2020 Steganography is an information security technique that consists of concealing secret data into digital medias including videos, texts, network protocols and images.
semanticscholar +1 more source
Weakly Supervised Foreground Segmentation Based on Superpixel Grouping
IEEE Access, 2018 Image segmentation is of great significance to a variety of tasks in image processing and computer vision. Since fully unsupervised image segmentation is usually very hard in most cases, a task-oriented interactive segmentation approach becomes a popular
Wangsheng Yu +5 more
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Sensors, 2021 Obtaining accurate global motion is a crucial step for video stabilization. This paper proposes a robust and simple method to implement global motion estimation.
Rouwan Wu +3 more
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