Results 21 to 30 of about 34,853 (246)
A deep semantic segmentation-based algorithm to segment crops and weeds in agronomic color images
Information Processing in Agriculture, 2022 In precision agriculture, the accurate segmentation of crops and weeds in agronomic images has always been the center of attention. Many methods have been proposed but still the clean and sharp segmentation of crops and weeds is a challenging issue for ...
Sovi Guillaume Sodjinou +3 more
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Uniformity Evaluation of Temperature Field in an Oven Based on Image Processing
IEEE Access, 2020 Non-uniform temperature distributions in ovens affect the quality of baked goods and raise concerns regarding food safety. Traditional research on oven performance focuses on the heating mechanisms in simulated ovens and does not involve quantitative ...
Conghui Wang +3 more
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Sensors, 2018 In view of terrain classification of the autonomous multi-legged walking robots, two synthetic classification methods for terrain classification, Simple Linear Iterative Clustering based Support Vector Machine (SLIC-SVM) and Simple Linear Iterative ...
Yaguang Zhu +4 more
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Superpixel Segmentation Using Weighted Coplanar Feature Clustering on RGBD Images
Applied Sciences, 2018 Superpixel segmentation is a widely used preprocessing method in computer vision, but its performance is unsatisfactory for color images in cluttered indoor environments. In this work, a superpixel method named weighted coplanar feature clustering (WCFC)
Zhuoqun Fang +4 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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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
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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 +4 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 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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IEEE Access, 2023 The accurate and reliable derivation of the pap smear cell, which contains cytoplasm and nucleus regions, depends on the segmentation process employed in the cervical cancer detection mechanism.
M. Anousouya Devi +5 more
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