A Method of Ridge Detection in Triangular Dissections Generated by Homogeneous Rectangular Dissections

2015 ◽  
pp. 131-142 ◽  
Author(s):  
Koichi Anada ◽  
Taiyou Kikuchi ◽  
Shinji Koka ◽  
Youzou Miyadera ◽  
Takeo Yaku
Keyword(s):  
Ridge Detection

Image segmentation using iterative watershed and ridge detection

2009 ◽  
Vol 29 (10) ◽  
pp. 2668-2670 ◽  
Author(s):  
Song-hua XIE ◽  
Li CHEN ◽  
Jian-xun CHEN ◽  
Hui NIE
Keyword(s):  
Image Segmentation ◽  
Ridge Detection

scholarly journals Defocusing PIV and ridge-detection algorithm for the analysis of flows laden with non-spherical particles

2021 ◽  
Vol 1977 (1) ◽  
pp. 012010
Author(s):  
Alessandro Capone ◽  
Giovanni Paolo Romano ◽  
Fabio Di Felice ◽  
Francisco Alves Pereira
Keyword(s):  
Detection Algorithm ◽  
Spherical Particles ◽  
Ridge Detection

scholarly journals A Method for Actin Filament Tracking in Fluorescent Microscopy Images

2020 ◽  
pp. paper37-1-paper37-10
Author(s):  
Danil Kononykhin ◽  
Valentina Berg ◽  
Andrey Krylov ◽  
Dmitry Sorokin
Keyword(s):  
Nearest Neighbor ◽  
Fluorescent Microscopy ◽  
Image Sequences ◽  
Biological Research ◽  
Tracking Accuracy ◽  
Actual Problem ◽  
Quality Metric ◽  
Ridge Detection ◽  
Research Areas ◽  
Microscopy Image

The automated tracking of subcellular structures in live microscopy image sequences is an actual problem in many biological research areas. A universal solution for this problem still does not exist due to a huge variety of data of different nature. In this work, we propose an algorithm for tracking actin filaments in 2D fluorescent image sequences. The filaments are moving in a random and abrupt manner frequently crossing each other. We used steerable filters based ridge detection followed by crossing filaments correction algorithm for filaments detection. The tracking was performed using a greedy nearest neighbor method. The quantitative evaluation of our approach was performed on several manually annotated image sequences using the object tracking quality metric MOTA. It was shown that the proposed approach outperforms an existing approach in tracking accuracy. In addition, the proposed approach allows processing crossed filaments, unlike the existing methods.

scholarly journals Mapping the fracture network in the Lilstock pavement, Bristol Channel, UK: manual versus automatic

2020 ◽  
Author(s):  
Christopher Weismüller ◽  
Rahul Prabhakaran ◽  
Martijn Passchier ◽  
Janos L. Urai ◽  
Giovanni Bertotti ◽  
...  
Keyword(s):  
High Resolution ◽  
Fracture Network ◽  
Aerial Photographs ◽  
Fracture Networks ◽  
Fracture Detection ◽  
Transform Method ◽  
Network Characteristics ◽  
Ridge Detection ◽  
Aerial Vehicle ◽  
World Class

Abstract. The 100,000 m2 wave-cut pavement in the Bristol Channel near Lilstock, UK, is a world-class outcrop, perfectly exposing a very large fracture network in several thin limestone layers. We present an analysis based on manual interpretation of fracture generations in selected domains and compare this with automated fracture tracing. Our dataset of high-resolution aerial photographs of the complete outcrop was acquired by unmanned aerial vehicle, using a survey altitude optimized to resolve all fractures. We map fractures and identify fracture generations based on abutting and overprinting criteria and present the fracture networks of five selected representative domains. Each domain is also mapped automatically using ridge detection based on the complex shearlet transform method. The automatic fracture detection technique provides results close to the manually mapped fracture networks, however, with a bias towards closely spaced Y over X nodes. The assignment of fractures into generations cannot be done automatically yet. Generations one and two are long fractures that traverse our domains. Generation three is only present in the southwestern domains. Generation four follows an ENE-WSW striking trend, is sub-orthogonal to generations one and two and abuts on them and generation 3 if present. Generations five is the youngest fracture set with diffuse orientation, creating polygonal patterns by abutting on all older fracture generations. Our mapping results show that the northeastern domains only contain four fracture generations, thus the five generations of the outcrop identified in the southwestern domains are either not all present in each of the five domains or vary locally in their geometry, preventing the interpreter to link the fractures to their respective generation over several spatially separate mapping domains. The domains have different P21 fracture intensities which is lowest in the NE with 7.31 m/m2 and highest in the SW with 10.01 m/m2, coinciding with different fracture orientations, and distributions of abutting relationships. Each domain has slightly different fracture network characteristics. The network analysis shows that connectivity increases, depending on the evolving fracture generations.

Extracting Mode Shapes for Beams Through a Passing Auxiliary Mass

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Yao Zhang ◽  
Hai-Sheng Zhao ◽  
Seng-Tjhen Lie
Keyword(s):  
Experimental Validation ◽  
Simple Algorithm ◽  
Coupled System ◽  
Time Dependent ◽  
New Technique ◽  
Mode Shapes ◽  
Lumped Mass ◽  
Ridge Detection ◽  
Instantaneous Frequencies ◽  
Auxiliary Mass

This paper shows an approach to evaluate mode shapes for beams through using a passing auxiliary mass. The coupled system of an auxiliary mass passing over a beam is time-dependent, and the corresponding instantaneous frequencies (IFs) are equivalent to the mode shapes. Hence, reconstruction of the mode shapes is easy to be achieved through estimating the IFs. A simple algorithm based on ridge detection is proposed to reconstruct the mode shapes. This method is effective if the beam is light or the lumped mass is heavy. It is convenient since it requires an accelerometer mounted on the passing auxiliary mass rather than a serious of sensors mounted on the structure itself. It is also more practical because it is usually difficult to install external exciter. A lab-scale experimental validation shows that the new technique is capable of identifying the first three mode shapes accurately.

scholarly journals The relationship between curvilinear structure enhancement and ridge detection methods

2020 ◽  
Author(s):  
Haifa F. Alhasson ◽  
Chris G. Willcocks ◽  
Shuaa S. Alharbi ◽  
Adetayo Kasim ◽  
Boguslaw Obara
Keyword(s):  
Detection Methods ◽  
Ridge Detection ◽  
Structure Enhancement ◽  
The Relationship

scholarly journals Pavement Crack Detection by Ridge Detection on Fractional Calculus and Dual-thresholds

2015 ◽  
Vol 10 (4) ◽  
pp. 19-30 ◽  
Author(s):  
Hongxun Song ◽  
Weixing Wang ◽  
Fengping Wang ◽  
Linchun Wu ◽  
Zhiwei Wang
Keyword(s):  
Fractional Calculus ◽  
Crack Detection ◽  
Ridge Detection ◽  
Pavement Crack Detection
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