Search Results - [Image Processing AND Computer Vision]: Segmentation—Edge AND feature detection*

Guided Volume Editing based on Histogram Dissimilarity by Karimov, A., Mistelbauer, G., Auzinger, T., Bruckner, S.

“… We propose an approach to improve volume editing by detecting potential segmentation defects while considering the underlying structure of the object of interest…”
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Pairwise Registration by Local Orientation Cues by Petrelli, Alioscia, Di Stefano, Luigi

“…) a feature detection approach relying on a saliency criterion which captures the ability to establish an LRF repeatably…”
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Vessel Visualization using Curvicircular Feature Aggregation by Mistelbauer, G., Morar, A., Varchola, A., Schernthaner, R., Baclija, I., Köchl, A., Kanitsar, A., Bruckner, S., Gröller, E.

“… While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA…”
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Height Ridge Computation and Filtering for Visualization by Peikert, Ronald, Sadlo, Filip

“… We propose a raw feature definition leading to a superset of the ridge points as obtained by these two definitions…”
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A GPGPU accelerated descriptor for mobile devices by Hofmann, R., Seichter, H., Reitmayr, G.

“… Our results proof the feasibility of modern mobile graphics accelerators for GPGPU tasks especially for the detection phase in natural feature tracking used in Augmented…”
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Interactive seismic interpretation with piecewise global energy minimization by Höllt, T, Beyer, J, Gschwantner, F, Muigg, P, Doleisch, H, Heinemann, G, Hadwiger, M

“…Increasing demands in world-wide energy consumption and oil depletion of large reservoirs have resulted in the need for exploring smaller and more complex oil…”
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Cubixel: a novel paradigm in image processing using three-dimensional pixel representation by Aburass, Sanad

“… Utilizing Cubixels, we’ve developed algorithms for advanced image segmentation, edge detection, texture analysis, and feature extraction, yielding a deeper comprehension of image content…”
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Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton by Liu, Jiang-Jiang, Hou, Qibin, Cheng, Ming-Ming

“…Salient object segmentation, edge detection, and skeleton extraction are three contrasting low-level pixel-wise vision problems, where existing works mostly focused on designing tailored methods for each individual task…”
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Comparison of Gradient-Based Edge Detectors Applied on Mammograms by Moroz-Dubenco, C.

“… That is, identifying the image orientation, detecting the breast and eliminating irrelevant parts. This paper aims to describe, analyze, compare and evaluate six…”
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RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images by Liu, Yahui, Yao, Jian, Lu, Xiaohu, Xia, Menghan, Wang, Xingbo, Liu, Yuan

“… Inspired by image segmentation, edge detection, and object skeleton extraction, we develop a multitask convolutional neural network (CNN…”
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Matching Apictorial Puzzle Pieces Using Deep Learning by Raluca-Diana CHIȘ

“… The proposed solution is based on deep learning models and has two steps: firstly, the pieces are segmented from images with a U-Net model…”
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Framework for Apple Phenotype Feature Extraction Using Instance Segmentation and Edge Attention Mechanism by Wang, Zichong, Cui, Weiyuan, Huang, Chenjia, Zhou, Yuhao, Zhao, Zihan, Yue, Yuchen, Dong, Xinrui, Lv, Chunli

“… the accuracy of apple quality detection and anomaly prediction in agricultural production. This method integrates instance segmentation, edge perception mechanisms, attention mechanisms, and multimodal data fusion to accurately extract…”
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Features for Melanoma Lesions Characterization in Computer Vision Systems by Vocaturo, Eugenio, Zumpano, Ester, Veltri, Pierangelo

“… sophisticated. Features are typically extracted using digital image processing methods (i.e., segmentation, edge detection and color and structure processing…”
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FPGA architecture for real-time information extraction and feature-based classification in image processing by Craciun, Stefan

“…The field of computer vison has made great strides toward the goal of image understanding…”
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Scene Reconstruction Pose Estimation and Tracking by Rustam Stolkin

“…This book reports recent advances in the use of pattern recognition techniques for computer and robot vision…”
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Covariance methods in computer vision by Zhi-Qiang Liu, Madiraju, S., Kitchen, L., Dance, S.

“…We discuss the use of covariance methods in invariant feature extraction, texture segmentation, edge detection, and surface geometry analysis…”
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From Uncertainty to Adaptivity : Multiscale Edge Detection and Image Segmentation by Liang, Kung-Hao

“…This thesis presents the research on two different tasks in computer vision: edge detection and image segmentation…”
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Local Feature Matters: Cascade Multi-scale MLP for Edge Segmentation of Medical Images by Lv, Jinkai, Hu, Yuyong, Fu, Quanshui, Hu, Yuqiang, Lv, Lin, Yang, Guoqing, Li, Jinpeng, Zhao, Yi

“… These methods all have the following challenges: (1) Previous methods do not highlight the relationship between foreground and background in segmented regions, which is helpful for complex segmentation edges. (2…”
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State-of-the-Art Image Edge Detection Techniques by Sharma, Lalit, Dahiya, Pawan Kumar

“… In the computer vision and machine vision field, edge detection is used for image segmentation and data or feature extraction…”
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MultiResEdge: A deep learning-based edge detection approach by Muntarina, Kanija, Mostafiz, Rafid, Khanom, Fahmida, Shorif, Sumaita Binte, Uddin, Mohammad Shorif

“…Edge detection is a fundamental technique in image processing and computer vision that plays a crucial role in various applications including object recognition, shape analysis, segmentation, feature…”
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