Results 11 to 20 of about 732,251 (333)
Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm
Applied Bionics and Biomechanics, 2022 With the increasingly important role of image segmentation in the field of computed tomography (CT) image segmentation, the requirements for image segmentation technology in related industries are constantly improving.
Lingli Shen
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2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 accepted to CVPR ...
GhadimiAtigh, M. +4 more
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MULTIFRACTAL SEGMENTATION OF IMAGES [PDF]
Fractals, 1994 We propose a multifractal approach to the problem of image analysis. We show that an alternative description of images, based on a multifractal characterization, can be used instead of the classical approach that involves smoothing of the discrete data in order to compute local extrema.
Lévy Véhel, Jacques, Mignot, Pascal
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Segmentation Of SAR Images [PDF]
International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'., 1989 Based on an SAR speckle statistical model, the authors investigate the feasibility of segmenting SAR images based on a gray-level histogram for one-look and multilook processed SAR images. The classification errors are evaluated and a procedure for the multilevel thresholding of SAR images is devised.
Lee, J.-S., Jurkevich, I.
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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
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Joint Learning of Intrinsic Images and Semantic Segmentation [PDF]
, 2018 Semantic segmentation of outdoor scenes is problematic when there are variations in imaging conditions. It is known that albedo (reflectance) is invariant to all kinds of illumination effects. Thus, using reflectance images for semantic segmentation task
A Garcia-Garcia +13 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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Computer Vision, Graphics, and Image Processing, 1984 There are now a wide Abstract There are now a wide variety of image segmentation techniques, some considered general purpose and some designed for specific classes of images. These techniques can be classified as: measurement space guided spatial clustering, single linkage region growing schemes, hybrid linkage region growing schemes, centroid linkage ...
Linda G. Shapiro, Robert M. Haralick
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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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Estimation of Depth Information of Image Based on Energy Distribution
Chemical Engineering Transactions, 2015 Image segmentation is an effective way to analysis image, which has received more and more attention. The traditional image segmentation technology can't get the result of the semantic image segmentation.
J.Y. Li, Q.B. Yuan
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