scholarly journals EFFICIENT LINE DETECTION METHOD BASED ON 2D CONVOLUTION FILTER

2021 ◽  
Vol 11 (4) ◽  
pp. 22-27
Author(s):  
Paweł Kowalski ◽  
Piotr Tojza
Keyword(s):  
Detection Method ◽  
Computational Cost ◽  
New Method ◽  
Line Detection ◽  
Curve Detection ◽  
Real Time Image ◽  
Convolution Filter ◽  
Straight Lines ◽  
Time Image ◽  
Local Detection

The article proposes an efficient line detection method using a 2D convolution filter. The proposed method was compared with the Hough transform, the most popular method of straight lines detection. The developed method is suitable for local detection of straight lines with a slope from -45˚ to 45˚.  Also, it can be used for curve detection which shape is approximated with the short straight sections. The new method is characterized by a constant computational cost regardless of the number of set pixels. The convolution is performed using the logical conjunction and sum operations. Moreover, design of the developed filter and the method of filtration allows for parallelization. Due to constant computation cost, the new method is suitable for implementation in the hardware structure of real-time image processing systems.

Complement Method for Obstructed Area on Images of Multiple Cameras Mounted Behind Crawler Shoe

2015 ◽  
Vol 27 (2) ◽  
pp. 146-155 ◽  
Author(s):  
Kenichi Tokuda ◽  
◽  
Tatsuya Hirayama ◽  
Tetsuya Kinugasa ◽  
Takafumi Haji ◽  
...  
Keyword(s):  
Image Processing ◽  
Detection Method ◽  
Multiple Cameras ◽  
Camera System ◽  
Rescue Robot ◽  
Field Of Vision ◽  
Covered Area ◽  
Real Time Image ◽  
Time Image ◽  
Common Field

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270002/04.jpg"" width=""340"" /> Camera system of FMT (RT-04)</div> The covered area detection method, using the brightness change in an image and parallax correction, does not depend on a common field of vision. Camera images become important information when a rescue robot is operated by remote control, but mounting cameras is difficult on a rescue robot crawler that must get into cracks in rubble. We propose attaching cameras behind the crawler shoe. The biggest problem then, however, is that the shoe obstructs large parts of the camera image. To avoid this, we developed real-time image processing that complements the obstructed area through the use of two cameras. We then performed evaluation experiments to confirm the effectiveness of the proposed technique. </span>

A Real-Time Sea-Sky-Line Detection Method under Complicated Sea-Sky Background

2012 ◽  
Vol 182-183 ◽  
pp. 1826-1831 ◽  
Author(s):  
Yang Gui ◽  
Xiao Hu Zhang ◽  
Yang Shang ◽  
Kun Peng Wang
Keyword(s):  
Real Time ◽  
Detection Method ◽  
Computational Cost ◽  
Input Image ◽  
Line Detection ◽  
Image Position ◽  
Interior Points ◽  
Line Fitting ◽  
Ransac Algorithm ◽  
Correlation Matching

A real-time sea-sky-line detection method under complicated sea-sky background is presented. Firstly, a black-white template is constructed and used for fast correlation matching in several searching regions which are predefined in input image, position of maximal correlation coefficient in each predefined region is hunt out, and coordinates of several candidate sea-sky-line points are made certain according to the position. Then, RANSAC algorithm is applied to preserve interior points which are really on the sea-sky-line and eliminate exterior points which are not. Finally, line parameters of the sea-sky-line can be gained by applying least squares line fitting for all interior points. The pixels of several regions in the image instead of the whole image need to be considered, so computational cost can be reduced dramatically. The experimental results show that the proposed method can detect out sea-sky-line under complicated sea-sky background effectively and has many advantages such as strong robustness and speedy calculation.

An Accurate Collision Detection Method for Cable Simulation

2013 ◽  
Vol 347-350 ◽  
pp. 3571-3575
Author(s):  
Shi Fu Xie ◽  
Li Yuan Ma ◽  
Peng Yuan Liu
Keyword(s):  
Collision Detection ◽  
Detection Method ◽  
Computational Cost ◽  
Detection Algorithm ◽  
New Method ◽  
Collision Resolution ◽  
Force Method ◽  
Shortest Distance ◽  
Resolution Scheme ◽  
Cable Segment

In this paper, we present a fast and robust collision detection (CD) and resolution scheme for deformable cable using a new method based on the shortest distance of cable segment axis. We employ a bounding sphere hierarchy (BVH) by exploiting the topology of cable for reducing the collision detection query space. After searching the collision through the bounding sphere hierarchy, the collision detection algorithm will find the two segments which are close enough to require an exact collision check. Furthermore, the exact collision state is decided by our proposed method. Penalty force method is applied to the collision resolution. The comparative experiments show that the proposed method performs more accurate than existing algorithms for deformable cable simulation without substantial computational cost.

scholarly journals An automatic detection method for the boiler pipe header based on real-time image acquisition

2017 ◽  
Vol 207 ◽  
pp. 012057
Author(s):  
Yi Long ◽  
YunLong Liu ◽  
Yongliang Qin ◽  
XiangWei Yang ◽  
DengKe Li ◽  
...  
Keyword(s):  
Real Time ◽  
Detection Method ◽  
Image Acquisition ◽  
Automatic Detection ◽  
Real Time Image ◽  
Time Image

An interlaced secure algorithm for RGB image encryption in wavelet packet domain

2016 ◽  
Vol 14 (03) ◽  
pp. 1650008
Author(s):  
Manish Kumar ◽  
Kashyap L. S. J. Josyula
Keyword(s):  
Computer Simulation ◽  
Real Time ◽  
Image Encryption ◽  
Random Matrix ◽  
Wavelet Packet ◽  
Computational Cost ◽  
Security Analysis ◽  
Real Time Image ◽  
Time Image ◽  
Rgb Image

We propose a secure interlaced algorithm for RGB image encryption associated with Arithmetic Random Matrix Affine Cipher (ARMAC) in wavelet packet domain. In this approach, the arrangement of ARMAC parameters along with correct de-interlacing is mandatory for correct decryption. Computer simulation with standard example and result (security analysis) is given to analyze the capability and robustness of the proposed approach and comparison with existing methods are drawn. We have designed a highly secure algorithm wherein an RGB image can be encrypted with varied computational cost depending on the user, enabling real-time image encryption. Moreover, the proposed approach can be used in transmission of images over unsecured network.

Design of a Spectroscopic Low-Energy Emission Microscope

1990 ◽  
Vol 48 (1) ◽  
pp. 358-359
Author(s):  
Lee H. Veneklasen
Keyword(s):  
Parallel Imaging ◽  
Objective Lens ◽  
Energy Window ◽  
Flat Surfaces ◽  
Beam Voltage ◽  
New Instrument ◽  
Real Time Image ◽  
Image Planes ◽  
Backscatter Diffraction ◽  
Time Image

This paper discusses some of the unique aspects of a spectroscopic emission microscope now being tested in Clausthal. The instrument is designed for the direct parallel imaging of both elastic and inelastic electrons from flat surfaces. Elastic contrast modes of the familiar LEEM include large and small angle LEED, mirror microscopy, backscatter diffraction contrast (for imaging of surface structure), and phase contrast (for imaging of step dynamics)(1). Inelastic modes include topology sensitive secondary, and work function sensitive photoemission. Most important, the new instrument will also allow analytical imaging using characteristic Auger or soft X-ray emissions. The basic instrument has been described by Bauer and Telieps (2). This configuration has been redesigned to include an airlock, and a LaB6 gun, triple condensor lens, magnetic objective lens, a double focussing separator field, an imaging energy analyzer, and a real time image processor.Fig. 1 shows the new configuration. The basic beam voltage supply Vo = 20 KV, upon which separate supplies for the gun Vg, specimen Vs, lens electrode Vf, and analyzer bias Vb float. The incident energy at the sample can be varied from Vs = 0-1 KV for elastic imaging, or from Vg + Vs = (3 + Vs) KV for inelastic imaging. The image energy window Vs±V/2 may be varied without readjusting either the illumation, or imaging/analyzer optics. The diagram shows conjugate diffraction and image planes. The apertures defining incoming Humiliation and outgoing image angles are placed below the separator magnet to allow for their independent optimization. The instrument can illuminate and image 0.5-100 μm fields at 0-1 keV emission energies with an energy window down to 0.2 eV.

Real-Time Line Detection Method for Camera Images of the Rescue Robot

2010 ◽  
Vol 130 (11) ◽  
pp. 2039-2046
Author(s):  
Munetoshi Numada ◽  
Masaru Shimizu ◽  
Takuma Funahashi ◽  
Hiroyasu Koshimizu
Keyword(s):  
Real Time ◽  
Detection Method ◽  
Line Detection ◽  
Time Line ◽  
Rescue Robot
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