DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks [PDF]
Frontiers in Plant Science, 2019 Crop yield is an essential measure for breeders, researchers, and farmers and is composed of and may be calculated by the number of ears per square meter, grains per ear, and thousand grain weight. Manual wheat ear counting, required in breeding programs
Pouria Sadeghi-Tehran +4 more
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IEEE Access, 2017 In order to solve the segmentation degradation phenomenon when the number of super pixels is low, we propose a novel color image segmentation algorithm based on GrabCut.
Dayong Ren +3 more
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Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2021 12 pages, 14 figures. This paper has been accepted as a Transactions Paper for publication by IEEE Transactions on Circuits and Systems for Video ...
Chong Wu +6 more
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AUTOMATIC OBJECT EXTRACTION FROM HIGH RESOLUTION AERIAL IMAGERY WITH SIMPLE LINEAR ITERATIVE CLUSTERING AND CONVOLUTIONAL NEURAL NETWORKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Recent advances in machine learning techniques for image classification have led to the development of robust approaches to both object detection and extraction.
A. C. Carrilho, M. Galo, M. Galo
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Evaluating segmentation methods for UAV-Based Spoil Pile Delineation [PDF]
Scientific ReportsMine waste dumps consist of individual, blob-like spoil piles, each with unique geological and geotechnical attributes that contribute to the overall stability of the dump.
Sureka Thiruchittampalam +3 more
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Stereo Matching with Spatiotemporal Disparity Refinement Using Simple Linear Iterative Clustering Segmentation [PDF]
Electronics, 2021 Stereo matching is a challenging problem, especially for computer vision, e.g., three-dimensional television (3DTV) or 3D visualization. The disparity maps from the video streams must be estimated. However, the estimated disparity sequences may cause undesirable flickering errors. These errors result in poor visual quality for the synthesized video and
Hui-Yu Huang, Zhe-Hao Liu
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IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Active queries is an active learning method used for classification of remote sensing images. It consists of three steps: hierarchical clustering, dendrogram division, and active label selection.
S. Wuttke, W. Middelmann, U. Stilla
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Color Image Segmentation Algorithm Combining SLIC with Improved Affinity Propagation Clustering [PDF]
Jisuanji gongcheng, 2018 When Adjacent Propagation(AP) clustering algorithm is used to segment color images,the similarity matrix has the problems of large scale,long clustering time,and high space complexity.Therefore,a new color image segmentation algorithm is proposed.A ...
CHENG Xianguo,WANG Mingjun
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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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IMPROVING MEDICAL IMAGE PREPROCESSING USING DENOISING TECHNIQUE
ICTACT Journal on Image and Video Processing, 2022 Image denoising is a main issue found in medical images and computer vision issues. There are different existing techniques in denoising image but the significant property of a decent image denoising model is that eliminate noise beyond what many would ...
P Thamilselvan
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