scholarly journals Digital image processing algorithms for visual navigation of an unmanned aircraft

2020 ◽  
Vol 30 (3) ◽  
pp. 75-85
Author(s):  
A. A. Makarenko ◽  
L. A. Vinokurov
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Amplitude Spectrum ◽  
Digital Processing ◽  
Spatial Spectrum ◽  
Visual Navigation ◽  
Unmanned Aircraft ◽  
General Idea ◽  
Two Dimensional

The algorithms of digital image processing in the unmanned aerial vehicle (UAV) visual navigation system are stated and the program realization of the method is presented in the article. Assessment of a range of spatial frequencies of the image is carried out using the stated algorithms. The look and structure of a two-dimensional amplitude spatial spectrum of the image allow allocating existence of vertical and horizontal borders and lines on the image and giving a general idea about their spatial orientation. The spectral submission of the compared images is also used for the acceleration of correlation function calculations. Using the results of digital processing of an amplitude two-dimensional spatial range of the image observed by the onboard TV camera the data allowing to specify the spatial UAV coordinates and to estimate a condition and position of the airfield are formed. The method is based on the numerical analysis of a two-dimensional amplitude spectrum of the image. Results of operation that confirm efficiency of the stated algorithms are presented.

scholarly journals Application of digital image processing for autofocusing system construction

2020 ◽  
Vol 30 (2) ◽  
pp. 69-79
Author(s):  
A. A. Makarenko ◽  
L. A. Vinokurov
Keyword(s):  
Image Processing ◽  
Numerical Analysis ◽  
Unmanned Aerial Vehicles ◽  
Digital Image Processing ◽  
Digital Image ◽  
Amplitude Spectrum ◽  
Two Dimensional ◽  
System Construction ◽  
Aerial Vehicles ◽  
Spatial Frequencies

The article states the method of autofocusing of the optoelectronic image, based on digital image processing. Some systems of autofocusing which can be used in optoelectronic equipment of unmanned aerial vehicles are considered. The method developed by authors and the program algorithm implementing it are similar to the rules of functioning of an element of the human visual system which executes an estimation of a spectrum of spatial frequencies for the realization of focusing of the image of objects which are of interest or danger and are on different distance from the observer. The best focusing is defined on the greatest width of a spectrum of spatial frequencies of the object. Such estimation allows focusing the necessary object on the observable image even in the absence of binocular vision. The method is based on the numerical analysis of a two-dimensional amplitude spectrum of the image. Results of operation of the stated method which confirm its efficiency are presented.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

Microdeformations in Sands by Digital Image Processing and Analysis

1996 ◽  
Vol 1548 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Scott A. Raschke ◽  
Roman D. Hryciw ◽  
Gregory W. Donohoe
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Small Scale ◽  
Two Dimensional ◽  
Localized Deformation ◽  
Displacement Fields ◽  
Particulate Media ◽  
Image Processing And Analysis ◽  
Video Images

Laboratory experiments are typically performed on particulate media to study stress-deformation behavior and to verify or calibrate computer models from controlled or measured boundary stresses and displacements. However, such data do not permit the formation of shear bands, displacement fields within flowing granular media, and other small-scale localized deformation phenomena to be identified. Described are two semiautomated computer vision techniques for accurately determining the two-dimensional displacement field in granular soils from video images obtained through a transparent planar viewing window. The techniques described are applicable for studying the behavior of particulate media under plane strain and certain axisymmetric test conditions. Digital image processing and analysis routines are used in two different computer programs, Tracker and Tracer, Tracker uses a graphical user interface that allows individual particles to be selected and tracked through a sequence of digital video images. A contrast edge detection algorithm delineates the two-dimensional projected boundaries of particles. The location of the centroid of each particle selected for tracking is determined from the boundary to quantify the trajectory of each particle. Tracer maps the trace or trajectory of specially dyed fluorescent particles in a sequence of video frames. A thresholding technique segments individual particle trajectories. Together, Tracker and Tracer provide a set of tools for identifying small-scale displacement fields in particulate assemblies deforming under either quasi-static or rapid loading (such as gravity flow).

Comparative Analysis on Noise Processing of Image

2013 ◽  
Vol 718-720 ◽  
pp. 2159-2162
Author(s):  
Hua Jun Dong ◽  
Xue Mei Jiang ◽  
Chen Xu Niu
Keyword(s):  
Image Processing ◽  
Comparative Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
Median Filter ◽  
Wiener Filter ◽  
Image Noise ◽  
Two Dimensional ◽  
Wavelet Filter ◽  
Average Filter

The existence of noises have great interference on image processing, so the elimination of image noise is of great importance. In this paper, based on the digital image processing, the methods of average filter, wiener filter, median filter, two-dimensional wavelet filter, maximum and minimum filter are used to eliminate the salt & pepper noise of image. Then we analysis and compare the results of the five methods to find the best way to eliminate the image noise.

Application of Digital Image Processing Software in Ceramic Design

2014 ◽  
Vol 543-547 ◽  
pp. 2435-2439
Author(s):  
Wei Li ◽  
Xin Yu Zhang
Keyword(s):  
Image Processing ◽  
Digital Media ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing System ◽  
Digital Processing ◽  
Geometric Transformation ◽  
Processing Software ◽  
Image Processing Software ◽  
Ceramic Design

From rest to exercise and from two-dimensional to three-dimensional, digital image processing software can be multi-angle, multi-dimension, multi-direction infiltration for the various fields of design, which has wide applications in every corner of digital media. Firstly, the digital image processing software can analyze the common digital processing system model. On the basis of the principle of RGB color histogram, it also can analyze its application in the ceramic design. According to the set of image transformation principle, the analysis of the geometric transformation plays an important role in in ceramic set, to provide the theoretical basis for the digital image processing software to a certain extent.

Application of Digital Image Processing Technology in the Process of Ceramic Art Image

2014 ◽  
Vol 687-691 ◽  
pp. 3738-3742 ◽  
Author(s):  
Zan Bin Peng
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing System ◽  
Digital Processing ◽  
Processing Technology ◽  
Computer Hardware ◽  
Visual Effect ◽  
Image Processing Technology ◽  
Ceramic Art

With the improvement of computer hardware and software performance, digital multimedia technology has been applied to various fields. The visual effect of ceramic art image is affected mainly by the brightness, texture and color, in which the image defects will affect the visual effect of the ceramic product. This paper designs the digital processing system of a new ceramic art image processing, the system can repair defects in ceramic art image. In order to verify the validity and reliability of digital processing system, the lead-free perovskite structure BZT based ceramics is prepared in this paper, and the use of electron microscope and digital camera take the ceramic products processing image with artistic defects, and then using VB programming digital image processing technology carries out color re coating for the ceramic, the ceramic products electron microscopy images after restoration will be obtained by the image boundary restructuring, which provides a new computer method for the processing art of the ceramic products.

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