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Advanced Search Results For "IMAGE segmentation"

1 - 10 of 34,115 results for
 "IMAGE segmentation"
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Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks.

Publication Type: Academic Journal

Source(s): Journal of Intelligent Manufacturing. Oct2022, Vol. 33 Issue 7, p2013-2025. 13p.

Abstract: The reduction of material defects in the automated fiber placement process is one of the significant factors for manufacturing large and complex components more efficiently in the future. However, the monitoring of complex manufacturing processes usual...

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A novel deviation density peaks clustering algorithm and its applications of medical image segmentation.

Publication Type: Academic Journal

Source(s): IET Image Processing (Wiley-Blackwell). Dec2022, Vol. 16 Issue 14, p3790-3804. 15p.

Abstract: The density peaks clustering (DPC) algorithm can identify clusters with various shapes and densities in the underlying dataset. However, the DPC algorithm cannot exactly find the true quantity of clustering centers when computing the local density, and...

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Distribution-free, Risk-controlling Prediction Sets.

Publication Type: Academic Journal

Source(s): Journal of the ACM. Dec2021, Vol. 68 Issue 6, p1-34. 34p.

Abstract: While improving prediction accuracy has been the focus of machine learning in recent years, this alone does not suffice for reliable decision-making. Deploying learning systems in consequential settings also requires calibrating and communicating the u...

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Lesion segmentation in lung CT scans using unsupervised adversarial learning.

Publication Type: Academic Journal

Source(s): Medical & Biological Engineering & Computing. Nov2022, Vol. 60 Issue 11, p3203-3215. 13p. 2 Color Photographs, 1 Black and White Photograph, 3 Diagrams, 6 Charts.

Abstract: Lesion segmentation in medical images is difficult yet crucial for proper diagnosis and treatment. Identifying lesions in medical images is costly and time-consuming and requires highly specialized knowledge. For this reason, supervised and semi-superv...

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Contour loss for instance segmentation via k‐step distance transformation image.

Publication Type: Academic Journal

Source(s): IET Computer Vision (Wiley-Blackwell). Dec2022, Vol. 16 Issue 8, p683-693. 11p.

Abstract: Instance segmentation aims to locate targets in the image and segment each target at the pixel level, which is one of the most important tasks in computer vision. Mask R‐CNN is a classic method of instance segmentation, but we find that its predicted m...

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Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Pattern Analysis & Machine Intelligence. Oct2022, Vol. 44 Issue 10, p6517-6533. 17p.

Abstract: Unsupervised domain adaptation (UDA) is to learn classification models that make predictions for unlabeled data on a target domain, given labeled data on a source domain whose distribution diverges from the target one. Mainstream UDA methods strive to ...

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PointINS: Point-Based Instance Segmentation.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Pattern Analysis & Machine Intelligence. Oct2022, Vol. 44 Issue 10, p6377-6392. 16p.

Abstract: In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features. Differentiating multiple potential instances within a single PoI feature is challenging, because learning a high-dimensional mask feature ...

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Segmentation and accurate identification of large carious lesions on high quality x-ray images based on Attentional U-Net model. A proof of concept study.

Publication Type: Academic Journal

Source(s): Journal of Applied Physics; 7/21/2022, Vol. 132 Issue 3, p1-10, 10p

Abstract: Copyright of Journal of Applied Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users ma...

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A Comparison of Various Images Processing Methods Used in Evaluation of Liquid Film Disruption.

Publication Type: Conference

Source(s): EPJ Web of Conferences. 10/24/2022, Vol. 269, p1-5. 5p.

Abstract: The aim of the paper is to introduce and compare various methods which can be used for an image processing. Studied methods include the image pre-processing and the image segmentation based on the Gaussian mixture model and the active contour. The imag...

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Image segmentation of healthy food using Hue Saturation Value.

Publication Type: Conference

Source(s): AIP Conference Proceedings. 2022, Vol. 2659 Issue 1, p1-8. 8p.

Abstract: This study aims to distinguish nine types of food based on the pixel intensity of the HSV image of the food. The segmentation method used is Hue, Saturation and Value (HSV) and compares its performance with RGB and RGB+HSV combinations. The segmentatio...

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