Results 31 to 40 of about 21,230 (297)

Yarn Color Measurement Method Based on Digital Photography [PDF]

Journal of Imaging
To overcome the complexity of yarn color measurement using spectrophotometry with yarn winding techniques and to enhance consistency with human visual perception, a yarn color measurement method based on digital photography is proposed.
Jinxing Liang, Guanghao Wu, Ke Yang, Jiangxiaotian Ma, Jihao Wang, Hang Luo, Xinrong Hu, Yong Liu   +7 more
doaj   +2 more sources

DeepCenterline: A Multi-task Fully Convolutional Network for Centerline Extraction [PDF]

, 2019
A novel centerline extraction framework is reported which combines an end-to-end trainable multi-task fully convolutional network (FCN) with a minimal path extractor. The FCN simultaneously computes centerline distance maps and detects branch endpoints. The method generates single-pixel-wide centerlines with no spurious branches.
Guo, Zhihui, Bai, Junjie, Lu, Yi, Wang, Xin, Cao, Kunlin, Song, Qi, Sonka, Milan, Yin, Youbing   +7 more
openaire   +4 more sources

Laser speckle stripes supersaturated problems in coal flow measurement research

Meitan kexue jishu, 2023
In order to solve the problem of extraction accuracy of brightness supersaturated laser stripe centerline in three-dimensional scanning of coal flow, a centerline extraction algorithm is proposed. According to the principle of oblique laser triangulation
HU Eryi, ZHANG Yao
doaj   +1 more source

Flux driven automatic centerline extraction [PDF]

Medical Image Analysis, 2005
We present a fast, robust and automatic method for computing centerline paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a skeletonization algorithm which exploits properties of the average outward flux of the gradient vector field of a Euclidean distance function from the boundary of the structure.
Sylvain, Bouix, Kaleem, Siddiqi, Allen, Tannenbaum   +2 more
openaire   +2 more sources

Road Extraction in SAR Images Using Ordinal Regression and Road-Topology Loss

Remote Sensing, 2021
The road extraction task is mainly composed of two subtasks, namely, road detection and road centerline extraction. As the road detection task and road centerline extraction task are strongly correlated, in this paper, we introduce a multitask learning ...
Xiaochen Wei, Xiaolei Lv, Kaiyu Zhang
doaj   +1 more source

Parallel centerline extraction on the GPU [PDF]

Computers & Graphics, 2014
Centerline extraction is important in a variety of visualization applications including shape analysis, geometry processing, and virtual endoscopy. Centerlines allow accurate measurements of length along winding tubular structures, assist automatic virtual navigation, and provide a path-planning system to control the movement and orientation of a ...
Liu, B., Telea, A.C., Roerdink, J.B.T.M., Clapworthy, G.J., Williams, D., Yang, P., Dong, F., Codreanu, V., Chiarini, A.   +8 more
openaire   +4 more sources

Road network extraction using multi-layered filtering and tensor voting from aerial images

Egyptian Journal of Remote Sensing and Space Sciences, 2021
Road network extraction from high-resolution aerial images is a predominant research area in remote sensing due to road network applications in various applications like transportation and industrialization disaster management.
Pramod Kumar Soni, Navin Rajpal, Rajesh Mehta   +2 more
doaj   +1 more source

Dual-Task Network for Road Extraction From High-Resolution Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
In high-resolution remote sensing images, road scale diversity and occlusions caused by shadows, buildings, and vegetation often pose challenges for road extraction.
Yuzhun Lin, Fei Jin, Dandi Wang, Shuxiang Wang, Xiao Liu   +4 more
doaj   +1 more source

3D Interactive Centerline Extraction

The MIDAS Journal, 2008
This document describes a user-steered method to interactively track centerlines of tubular objects in 3D space. The method is developed as a plug-in of ImageJ using Java language. To evaluate the tracking ability and tracking accuracy, this method has been applied to coronary artery tracking in coronary CT angiography data.
Yong Zhang, Kun Chen, Stephen Wong
openaire   +1 more source

3D Geometric Analysis of Tubular Objects based on Surface Normal Accumulation [PDF]

, 2015
This paper proposes a simple and efficient method for the reconstruction and extraction of geometric parameters from 3D tubular objects. Our method constructs an image that accumulates surface normal information, then peaks within this image are located ...
A Tagliasacchi, C Bauer, C Kirbas, C Xu, D Borrmann, D Lesage, E Arkin, GS Baja di, IK Lee, L Cuel, L Latecki, M Hassouna, ND Cornea, P Pare, TP Nguyen, U Bauer   +15 more
core   +6 more sources