Results 21 to 30 of about 931,369 (334)
IEEE Access, 2021 Image segmentation is a key technology in the field of computer image processing. Among them, segmentation methods based on active contour models have been developed rapidly in recent years due to their effective processing of complex images such as ...
Xinghuo Ye, Qianyi Wang
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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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Capsules for biomedical image segmentation
Medical Image Analysis, 2021 Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrained routing and transformation matrix sharing, which reduces the parameter/memory burden and allows for the segmentation of objects at large resolutions.
Rodney LaLonde +4 more
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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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Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm
Tomography, 2022 Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation.
Bing Li +4 more
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Nonparametric Bayesian Image Segmentation [PDF]
International Journal of Computer Vision, 2007 ISSN:0920 ...
Orbanz, Peter, Buhmann, Joachim
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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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Multilevel thresholding image segmentation algorithm based on Mumford–Shah model
Journal of Intelligent Systems, 2023 Image segmentation is one of the important tasks of computer vision and computer image processing, and the purpose of image segmentation is to achieve the extraction and recognition of the target image region.
Kang Xiancai, Hua Chuangli
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Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning [PDF]
PeerJ, 2022 Polarimetric SAR (PolSAR) image segmentation is a key step in its interpretation. For the targets with time series changes, the single-temporal PolSAR image segmentation algorithm is difficult to provide correct segmentation results for its target ...
Caiqiong Wang +4 more
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Image segmentation based on improved OSV decomposition model
Xi'an Gongcheng Daxue xuebao, 2022 A new multi-region image segmentation model based on improved OSV image decomposition was proposed for the coexistence of image structure and texture components. The model preserved the divergence-free vector field of texture image, combined multi-region
GUO Yuying +4 more
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