scholarly journals A Method for Patterns of Cell-Like Images Based on Distance Transformation

2021 ◽  
Vol 26 ◽  
pp. 295-299
Author(s):  
Toru Hiraoka ◽  
Kohei Maeda
Keyword(s):  
Distance Transformation

scholarly journals Improving skeleton algorithm for helping Caenorhabditis elegans trackers

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Pablo E. Layana Castro ◽  
Joan Carles Puchalt ◽  
Antonio-José Sánchez-Salmerón
Keyword(s):  
Computer Vision ◽  
Caenorhabditis Elegans ◽  
Transformation Function ◽  
Simple Solution ◽  
New Method ◽  
Vision Systems ◽  
Distance Transformation ◽  
Automatic Computer ◽  
C Elegans ◽  
Computer Vision Systems

AbstractOne of the main problems when monitoring Caenorhabditis elegans nematodes (C. elegans) is tracking their poses by automatic computer vision systems. This is a challenge given the marked flexibility that their bodies present and the different poses that can be performed during their behaviour individually, which become even more complicated when worms aggregate with others while moving. This work proposes a simple solution by combining some computer vision techniques to help to determine certain worm poses and to identify each one during aggregation or in coiled shapes. This new method is based on the distance transformation function to obtain better worm skeletons. Experiments were performed with 205 plates, each with 10, 15, 30, 60 or 100 worms, which totals 100,000 worm poses approximately. A comparison of the proposed method was made to a classic skeletonisation method to find that 2196 problematic poses had improved by between 22% and 1% on average in the pose predictions of each worm.

scholarly journals An Approach to Generate Spatial Voronoi Treemaps for Points, Lines, and Polygons

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Song Tian ◽  
Ximin Cui ◽  
Yu Gong
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Data Model ◽  
Space Filling ◽  
Distance Transformation ◽  
Voronoi Polygons ◽  
Spatial Coordinates ◽  
Filling Method ◽  
Spatial Data Model

As a space-filling method, Voronoi Treemaps are used for showcasing hierarchies. Previously presented algorithms are limited to visualize nonspatial data. The approach of spatial Voronoi Treemaps is proposed in this paper to eliminate these problems by enabling the subdivisions for points, lines, and polygons with spatial coordinates and references. The digital distance transformation is recursively used to generate nested raster Voronoi polygons while the raster to vector conversion is used to create a vector-based Treemap visualization in a GIS (geographic information system) environment. The objective is to establish a spatial data model to better visualize and understand the hierarchies in the geographic field.

scholarly journals Trajectory Tracking For Quadrotors: An Optimization-Based Planning Followed By Controlling Approach

2021 ◽  
Author(s):  
Geesara Kulathunga ◽  
Dmitry Devitt ◽  
Alexandr Klimchik
Keyword(s):  
Trajectory Tracking ◽  
Euclidean Distance ◽  
Control Policy ◽  
Multiple Shooting ◽  
Reference Trajectory ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Distance Transformation ◽  
Direct Collocation ◽  
Better Than

Abstract We present an optimization-based reference trajectory tracking method for quadrotor robots for slow-speed maneuvers. The proposed method uses planning followed by the controlling paradigm. The basic concept of the proposed method is an analogy to Linear Quadratic Gaussian (LQG) in which Nonlinear Model Predictive Control (NMPC) is employed for predicting optimal control policy in each iteration. Multiple-shooting (MS) is suggested over Direct-collocation (DC) for imposing constraints when modelling the NMPC. Incremental Euclidean Distance Transformation Map (EDTM) is constructed for obtaining the closest free distances relative to the predicted trajectory; these distances are considered obstacle constraints. The reference trajectory is generated, ensuring dynamic feasibility. The objective is to minimize the error between the quadrotor’s current pose and the desired reference trajectory pose in each iteration. Finally, we evaluated the proposed method with two other approaches and showed that our proposal is better than those two in terms of reaching the goal without any collision. Additionally, we published a new dataset, which can be used for evaluating the performance of trajectory tracking algorithms.

Skeletonization And Distance Transformation By Greyscale Morphology

1988 ◽  
Author(s):  
Frank Y. Shih ◽  
O.Robert Mitchell
Keyword(s):  
Distance Transformation
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