Results 11 to 20 of about 790,123 (309)
Image segmentation is an essential and critical step in huge number of applications of image processing. Accuracy of image segmentation influence retrieved information for further processing in classification and other task.
Neeraj Kumari +3 more
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Estimation of Depth Information of Image Based on Energy Distribution
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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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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Joint Learning of Intrinsic Images and Semantic Segmentation [PDF]
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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Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm
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]
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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Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm
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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Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation [PDF]
Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task. In contrast, simple image tags are easier to gather.
Baptista-Ríos, Marcos +2 more
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Image segmentation based on improved OSV decomposition model
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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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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