Results 21 to 30 of about 12,457,928 (304)
Automatic texture segmentation for content-based image retrieval application [PDF]
, 2006 In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm.
Fauzi, M.F.A. +3 more
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Real-time Semantic Segmentation Method Based on Multi-path Feature Extraction [PDF]
Jisuanji kexue, 2022 The application of deep learning in the field of image semantic segmentation has greatly improved the accuracy of segmentation,but due to the limitations of speed and memory,these models can not be directly applied to embedded devices for real-time ...
CHENG Cheng, JIANG Ai-lian
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WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
IEEE Access, 2019 Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
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ATLANTIS: A benchmark for semantic segmentation of waterbody images [PDF]
Environmental Modelling & Software, 2022 Vision-based semantic segmentation of waterbodies and nearby related objects provides important information for managing water resources and handling flooding emergency. However, the lack of large-scale labeled training and testing datasets for water-related categories prevents researchers from studying water-related issues in the computer vision field.
Seyed Mohammad Hassan Erfani +4 more
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Semantic Segmentation of Seismic Images
CoRR, 2019 Almost all work to understand Earth's subsurface on a large scale relies on the interpretation of seismic surveys by experts who segment the survey (usually a cube) into layers; a process that is very time demanding. In this paper, we present a new deep neural network architecture specially designed to semantically segment seismic images with a minimal
Daniel Civitarese +3 more
openaire +2 more sources
Recent progress in semantic image segmentation [PDF]
Artificial Intelligence Review, 2018 Pubulished at Artificial Intelligence ...
Xiaolong Liu 0010 +2 more
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Graph-FCN for Image Semantic Segmentation [PDF]
, 2019 Semantic segmentation with deep learning has achieved great progress in classifying the pixels in the image. However, the local location information is usually ignored in the high-level feature extraction by the deep learning, which is important for image semantic segmentation.
Yi Lu +3 more
openaire +2 more sources
Stopping region-based image segmentation at meaningful partitions [PDF]
, 2007 This paper proposes a new stopping criterion for automatic image segmentation based on region merging. The criterion is dependent on image content itself and when combined with the recently proposed approaches to syntactic segmentation can produce ...
O'Connor, Noel E. +4 more
core +2 more sources
Scene-Aware Deep Networks for Semantic Segmentation of Images
IEEE Access, 2019 Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction.
Zhike Yi +5 more
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Image semantic segmentation method based on GAN network and ERFNet model
The Journal of Engineering, 2021 This article addresses the problems of traditional methods in image semantic segmentation, such as insufficient segmentation of small‐scale targets and weak anti‐noise ability.
Chaoxian Dong
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