Results 51 to 60 of about 6,662,539 (239)
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2023 We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panoptic segmentation. Text-to-image diffusion models have the remarkable ability
Jiarui Xu +5 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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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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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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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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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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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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CE-Net: Context Encoder Network for 2D Medical Image Segmentation [PDF]
IEEE Transactions on Medical Imaging, 2019 Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation ...
Zaiwang Gu +8 more
semanticscholar +1 more source
An Image Segmentation Method for Global Vision Robot Fish Competition
MATEC Web of Conferences, 2018 Image segmentation is a key link of vision system of the global vision bionic robot fish, and a precondition of target localization and tracking. In this paper, we propose a visual threshold method for color image segmentation.
Jia Yifan, Li Juanjuan, Hu Liang
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Research of segmentation method on color image of Lingwu long jujubes based on the maximum entropy
EURASIP Journal on Image and Video Processing, 2017 This paper researches on methods of the color image segmentation method of Lingwu long jujubes based on the maximum entropy to achieve the accuracy of image segmentation and improve accuracy of machine recognition.
Yutan Wang +5 more
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