Image contour analysis using iterative search algorithms based on wavelet transform

2009 ◽  
Author(s):  
Svetlana Antoshchuk ◽  
Anatoly Nikolenko ◽  
Oksana Babilunga ◽  
Katerina Kapunova
Keyword(s):  
Wavelet Transform ◽  
Search Algorithms ◽  
Contour Analysis ◽  
Iterative Search ◽  
Image Contour

scholarly journals Devising an image processing method for transport infrastructure monitoring systems

2021 ◽  
Vol 4 (2(112)) ◽  
pp. 18-25
Author(s):  
Oleksandr Volkov ◽  
Mykola Komar ◽  
Dmytro Volosheniuk
Keyword(s):  
Unmanned Aerial Vehicle ◽  
The State ◽  
Transport Infrastructure ◽  
Dynamic Monitoring ◽  
Contour Analysis ◽  
Binary Images ◽  
Infrastructure Monitoring ◽  
Sorting Data ◽  
Aerial Vehicle ◽  
Image Contour

Identifying and categorizing contours in images is important in many areas of computer vision. Examples include such operational tasks solved by using unmanned aerial vehicles as dynamic monitoring of the condition of transport infrastructure, in particular road markings. This study has established that current methods of image contour analysis do not produce clear and reliable results when solving the task of monitoring the state of road markings. Therefore, it is a relevant scientific and applied task to improve the methods and models of filtration, processing of binary images, and qualitative and meaningful separation of the boundaries of objects of interest. To solve the task of highlighting road marking contours on images acquired from an unmanned aerial vehicle, a method has been devised that includes an operational tool for image preprocessing – a combined filter. The method has several advantages and eliminates the limitations of known methods in determining the boundaries of the location of the object of interest, by highlighting the contours of a cluster of points using histograms. The method and procedures reported here make it possible to successfully solve problems that are largely similar to those that an expert person can face when solving intelligent tasks of processing and filtering information. The proposed method was verified at an enterprise producing the Ukrainian unmanned aerial vehicle "Spectator" during tests of information technology of dynamic monitoring of the state of transport infrastructure. The results could be implemented in promising intelligent control systems in the field of modeling human conscious behavior when sorting data required for the perception of environmental features

scholarly journals CLASSIFICATION OF METHODS OF THE SIGNAL SEMANTIC WAVELET TRANSFORM FOR IMAGE CONTOUR SEGMENTATION

2014 ◽  
pp. 51-57
Author(s):  
Marina Polyakova ◽  
Victor Krylov
Keyword(s):  
Wavelet Transform ◽  
Edge Detector ◽  
Contour Segmentation ◽  
Image Contour

In this paper the methods of signal semantic wavelet transform which underlines the edges of image in the edge detector task are analyzed and classified.

Application of Wavelet Transform for Analyzing Instantaneous Contour of Continual Deformation Object

2006 ◽  
Vol 326-328 ◽  
pp. 51-54
Author(s):  
Fan Xui Chen ◽  
Xiao Yuan He
Keyword(s):  
Wavelet Transform ◽  
High Speed ◽  
Kinetic Characteristic ◽  
Intensity Variation ◽  
Ccd Camera ◽  
Noise Pollution ◽  
Contour Analysis ◽  
Transform Method ◽  
Object Based ◽  
Fringe Patterns

The reconstruction of instantaneous contour is a common method to analyze the kinetic characteristic of a continual deformation object. In this paper a continuous wavelet transform method (CWT) is applied to analyze the instantaneous contour of a continual deformation object based on shadow moiré technique. The modulated moiré fringe patterns are captured by use of a high-speed CCD camera and the temporal intensity variation of each pixel related to the object deformations is recorded. The intensity variation of each pixel is analyzed along the time axis by CWT. From the extraction of the ridges and from the value of the CWT along the ridges, the information of modulated phase relative to the contour of object can be obtained. In this application, a cantilever beam with a motion in the Z direction is tested by use of the method and the high-quality instantaneous contour of the continual deformation object can be retrieved. Experimental results prove that the CWT can successfully be applied to the instantaneous contour analysis of continual deformation object and these results demonstrate the advantages of the CWT with respect to the applicable simplicity and the resistance of noise pollution.

scholarly journals General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python

2021 ◽  
Vol 11 (11) ◽  
pp. 4774
Author(s):  
Illya Bakurov ◽  
Marco Buzzelli ◽  
Mauro Castelli ◽  
Leonardo Vanneschi ◽  
Raimondo Schettini
Keyword(s):  
Source Code ◽  
Search Algorithms ◽  
General Purpose ◽  
Supervised Machine Learning ◽  
Formal Definition ◽  
Learning Problem ◽  
Iterative Search ◽  
Problem Types ◽  
Wide Range ◽  
Novel Approaches

Several interesting libraries for optimization have been proposed. Some focus on individual optimization algorithms, or limited sets of them, and others focus on limited sets of problems. Frequently, the implementation of one of them does not precisely follow the formal definition, and they are difficult to personalize and compare. This makes it difficult to perform comparative studies and propose novel approaches. In this paper, we propose to solve these issues with the General Purpose Optimization Library (GPOL): a flexible and efficient multipurpose optimization library that covers a wide range of stochastic iterative search algorithms, through which flexible and modular implementation can allow for solving many different problem types from the fields of continuous and combinatorial optimization and supervised machine learning problem solving. Moreover, the library supports full-batch and mini-batch learning and allows carrying out computations on a CPU or GPU. The package is distributed under an MIT license. Source code, installation instructions, demos and tutorials are publicly available in our code hosting platform (the reference is provided in the Introduction).

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