Results 41 to 50 of about 7,074,171 (358)
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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Techniques and Challenges of Image Segmentation: A Review
Electronics, 2023 Image segmentation, which has become a research hotspot in the field of image processing and computer vision, refers to the process of dividing an image into meaningful and non-overlapping regions, and it is an essential step in natural scene ...
Ying Yu +7 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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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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Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
, 2020 Efficient and easy segmentation of images and volumes is of great practical importance. Segmentation problems that motivate our approach originate from microscopy imaging commonly used in materials science, medicine, and biology.
Dahl, Anders Bjorholm +3 more
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Image segmentation with a multilevel threshold using backtracking search optimization algorithm
Tikrit Journal of Pure Science, 2020 Image segmentation is an important process in image processing. Though, there are many applications are affected by the segmentation methods and algorithms, unfortunately, not one technique, but the threshold is the popular one.
Hather Ibraheem Abed
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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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Brain tumor segmentation based on a hybrid clustering technique
Egyptian Informatics Journal, 2015 Image segmentation refers to the process of partitioning an image into mutually exclusive regions. It can be considered as the most essential and crucial process for facilitating the delineation, characterization, and visualization of regions of interest
Eman Abdel-Maksoud +2 more
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Survey of Image Semantic Segmentation Methods Based on Deep Neural Network
Jisuanji kexue yu tansuo, 2021 Image semantic segmentation is a hot research topic in the field of computer vision in recent years. With the rise of deep learning technology, image semantic segmentation and deep learning technology are integrated and developed, which has made ...
XU Hui, ZHU Yuhua, ZHEN Tong, LI Zhihui
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2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), 2015 The article provides a method for binary seg-mentation Images-reflection. At the same time, the presence in the IMAGE-zhenii, do not share it, check.
Mauro Barni, Franco Bartolini
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