scholarly journals Analysis of Random Dynamics of Cell Segmented by a Modified Active Contour Method

2020 ◽  
Vol 10 (19) ◽  
pp. 6806
Author(s):  
Ji Yeon Hyun ◽  
Seungeon Ha ◽  
Jongmin Baek ◽  
Junghun Han ◽  
Honggi An ◽  
...  
Keyword(s):  
Active Contour ◽  
Mean Square Displacement ◽  
Time Lapse ◽  
Radial Symmetry ◽  
Contour Method ◽  
Accurate Estimation ◽  
Velocity Autocorrelation Function ◽  
Localization Error ◽  
Statistical Parameters ◽  
Cellular Dynamics

To understand the dynamics of a living system, the analysis of particular and/or cellular dynamics has been performed based on shape-based center point detection. After collecting sequential time-lapse images of cellular dynamics, the trajectory of a moving object is determined from the set of center points of the cell analyzed from each image. The accuracy of trajectory is significant in understanding the stochastic nature of the dynamics of biological objects. In this study, to localize a cellular object in time-lapse images, three different localization methods, namely radial symmetry, circular Hough transform, and modified active contour, were considered. To analyze the accuracy of cellular dynamics, several statistical parameters such as mean square displacement and velocity autocorrelation function were employed, and localization error derived from these was reported for each localization method. In particular, through denoising using a Poisson noise filter, improved localization characteristics could be achieved. The modified active contour with denoising reduced localization error significantly, and thus allowed for accurate estimation of the statistical parameters of cellular dynamics.

scholarly journals Model-Free, Occlusion Accommodating Active Contour Tracking

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Mohamed Ben Salah ◽  
Amar Mitiche
Keyword(s):  
Active Contour ◽  
Evolution Equations ◽  
Infrared Imaging ◽  
Contour Method ◽  
Image Modeling ◽  
Model Free ◽  
Level Set Evolution ◽  
Kernel Form ◽  
Objective Functional ◽  
Active Curve

This study investigates tracking in monocular image sequences by a model-free, occlusion accommodating active contour method. The objective functional contains a model-free shape tracking term to constrain the active curve in a frame to have a shape which approximates as closely as possible the shape of the active curve in the preceding frame. It complements a kernel photometric tracking term which constrains the active curve in a frame to enclose an intensity profile that matches as closely as possible the profile within the curve in the preceding frame. This data term is in kernel form so as to forgo image modeling. The method, which is exclusively driven by the curve/level set evolution equations derived from the objective functional Euler-Lagrange conditions, can track several objects independently. Experimental validation includes examples with infrared imaging, occlusion, clutter, and articulated motion.

scholarly journals SEGMENTASI CITRA THORAX PARU-PARU MANUSIA DARI SINAR-X MENGGUNAKAN METODE KONTUR AKTIF

2019 ◽  
Vol 4 (2) ◽  
pp. 8-10
Author(s):  
Sintha Syaputri ◽  
Zulkarnain
Keyword(s):  
Active Contour ◽  
Active Contours ◽  
Contour Method ◽  
Image Objects ◽  
Contour Segmentation ◽  
Segmentation Process ◽  
Coordinate Position ◽  
Image Improvement ◽  
The Right

Research on medical image objects in the form of lung images of thoracic X-Rayis increasingly being developed because the information contained in medical images is used to analyze and determine the shape of the lungs. The process of normalization and image improvement is needed and continued with the segmentation process using the right method. The active snake contour method is used because it is resistant to the noise around the object. The research has been usedthe Matlab software GUI program version R2015a. The image through the initial preprocessing stage is converted into a grayscale image. The segmentation process used after the initialization process in the form of a small circle curve placed of the object to be segmented and the determination position of the active contour or detemination of the active parameters of the contour. Determination of the value active contour parameters greatly influences the results of segmentation and influences the direction of active contour movement. If the active coordinate position of the contour is outside the area to be segmented it will cause active contours to move away from the object. Validation the level of accuracy of segmentation results is done by comparing the results of the snake active contour segmentation to the results of manual segmentationused MSE method

Monitoring horizontal well hydraulic stimulations and geomechanical deformation processes in the unconventional shales of the Midland Basin using fiber-based time-lapse VSPs, microseismic, and strain data

2019 ◽  
Vol 38 (2) ◽  
pp. 130-137 ◽  
Author(s):  
Robert Hull ◽  
Robert Meek ◽  
Hector Bello ◽  
Kevin Woller ◽  
Jed Wagner
Keyword(s):  
Fiber Optics ◽  
Hydraulic Fracture ◽  
Single Mode ◽  
Time Lapse ◽  
Seismic Profile ◽  
External Pressure ◽  
Single Mode Fiber ◽  
Accurate Estimation ◽  
Fracture Geometry ◽  
Fracture Models

A variety of methods are utilized in an instrumented vertical wellbore to invert for and estimate the heights and lateral extents of the hydraulic fracture treatment. Data were acquired with externally mounted dual- and single-mode fiber optics for measuring strain, acoustics, and temperature. In addition, external pressure gauges, internal conventional tiltmeters, and geophones were also utilized. This instrumented well was used multiple times to record a number of nearby offset horizontal hydraulic stimulations and to record a time-lapse vertical seismic profile. By using multiple data acquisition techniques, we obtained a more comprehensive and accurate estimation of the hydraulic fracture geometry and the dynamic processes taking place internal to the propagating fractures. Furthermore, these data could be used to calibrate fracture models and the fracture interaction with the surrounding unconventional reservoir.

A 3D Hermite-based multiscale local active contour method with elliptical shape constraints for segmentation of cardiac MR and CT volumes

2017 ◽  
Vol 56 (5) ◽  
pp. 833-851 ◽  
Author(s):  
Leiner Barba-J ◽  
Boris Escalante-Ramírez ◽  
Enrique Vallejo Venegas ◽  
Fernando Arámbula Cosío
Keyword(s):  
Active Contour ◽  
Contour Method ◽  
Shape Constraints ◽  
Cardiac Mr ◽  
Elliptical Shape ◽  
Active Contour Method
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