Results 41 to 50 of about 6,662,539 (239)
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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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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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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Channel prior convolutional attention for medical image segmentation [PDF]
Comput. Biol. Medicine, 2023 Characteristics such as low contrast and significant organ shape variations are often exhibited in medical images. The improvement of segmentation performance in medical imaging is limited by the generally insufficient adaptive capabilities of existing ...
He-lu Huang +4 more
semanticscholar +1 more source
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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U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications [PDF]
IEEE Access, 2020 U-net is an image segmentation technique developed primarily for image segmentation tasks. These traits provide U-net with a high utility within the medical imaging community and have resulted in extensive adoption of U-net as the primary tool for ...
N. Siddique +3 more
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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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Medical Image Segmentation Review: The Success of U-Net [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the most widespread image segmentation architecture due to its flexibility, optimized
Reza Azad +9 more
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Mixed Transformer U-Net for Medical Image Segmentation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Though U-Net has achieved tremendous success in medical image segmentation tasks, it lacks the ability to explicitly model long-range dependencies. Therefore, Vision Transformers have emerged as alternative segmentation structures recently, for their ...
Hongyi Wang +6 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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