Results 11 to 20 of about 931,369 (334)
Variational Image Segmentation Model Coupled with Image Restoration Achievements [PDF]
arXiv, 2014 Image segmentation and image restoration are two important topics in image processing with great achievements. In this paper, we propose a new multiphase segmentation model by combining image restoration and image segmentation models.
Cai, Xiaohao
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Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation [PDF]
arXiv, 2017 A novel multi-atlas based image segmentation method is proposed by integrating a semi-supervised label propagation method and a supervised random forests method in a pattern recognition based label fusion framework.
Fan, Yong, Zheng, Qiang
core +2 more sources
Image Segmentation Techniques for Intelligent Monitoring of Putonghua Examinations
Advances in Mathematical Physics, 2022 Image recognition and image processing usually contain the technique of image segmentation. Excellent segmentation results can directly affect the accuracy of image recognition and processing. The essence of image segmentation is to segment each frame of
Hui Liu
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A Method of Polished Rice Image Segmentation Based on YO-LACTS for Quality Detection
Agriculture, 2023 The problem of small and multi-object polished rice image segmentation has always been one of importance and difficulty in the field of image segmentation.
Jinbo Zhou +5 more
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Sensors, 2021 High-spatial-resolution images play an important role in land cover classification, and object-based image analysis (OBIA) presents a good method of processing high-spatial-resolution images.
Shuang Hao, Yuhuan Cui, Jie Wang
doaj +1 more source
Instance Segmentation as Image Segmentation Annotation [PDF]
2019 IEEE Intelligent Vehicles Symposium (IV), 2019 The instance segmentation problem intends to precisely detect and delineate objects in images. Most of the current solutions rely on deep convolutional neural networks but despite this fact proposed solutions are very diverse. Some solutions approach the problem as a network problem, where they use several networks or specialize a single network to ...
Thomio Watanabe, Denis F. Wolf
openaire +3 more sources
Environment Conservation Journal, 2020 Image segmentation is an essential and critical step in huge number of applications of image processing. Accuracy of image segmentation influence retrieved information for further processing in classification and other task.
Neeraj Kumari +3 more
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Image quality and segmentation [PDF]
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 2018 Algorithms for image segmentation (including object recognition and delineation) are influenced by the quality of object appearance in the image and overall image quality. However, the issue of how to perform segmentation evaluation as a function of these quality factors has not been addressed in the literature.
Drew A. Torigian +7 more
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Binocular Image Segmentation Based on Graph Cuts Multi-feature Selection [PDF]
Jisuanji kexue, 2021 Binocular image segmentation is crucial for subsequent applications such as stereoscopic object synthesis and 3D reconstruction.Since binocular images contain scene depth information,it is difficult to obtain ideal segmentation results by applying ...
JIN Hai-yan, PENG Jing, ZHOU Ting, XIAO Zhao-lin
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Image Segmentation with Multidimensional Refinement Indicators [PDF]
, 2011 We transpose an optimal control technique to the image segmentation problem. The idea is to consider image segmentation as a parameter estimation problem. The parameter to estimate is the color of the pixels of the image.
Ameur, Hend Ben +3 more
core +5 more sources