scholarly journals The Implementation Of Sound Output Image Processing With Wireless Based On Control To Vehicle Identification

2020 ◽  
Vol 846 ◽  
pp. 012010
Author(s):  
Siska Aulia ◽  
Popy Maria ◽  
Aprinal A. Asri ◽  
Ratna Dewi
Keyword(s):  
Image Processing ◽  
Output Image ◽  
Vehicle Identification

Based on the Research of Halcon Vehicle Identification Technology

2014 ◽  
Vol 513-517 ◽  
pp. 3790-3793
Author(s):  
Yu Xiao Zhang ◽  
Wen Zhong Tang ◽  
Yun Peng Wang
Keyword(s):  
Image Processing ◽  
Pattern Matching ◽  
Computer Technology ◽  
Shape Matching ◽  
Processing Technology ◽  
Traffic Information ◽  
Car Ownership ◽  
Testing Method ◽  
Vehicle Identification ◽  
Image Processing Technology

With the increase of urban car ownership and the development of computer technology and image processing technology, through the video detection of traffic information more and more important. This paper proposes a testing method of vehicle identification, and separately in grayscale matching, pattern matching and shape matching three methods respectively to test the vehicle, and respectively analyzes the three methods of accuracy and the reasons for the unreasonable data.

Image Processing based Vehicle Identification and Speed Measurement

2020 ◽  
Author(s):  
Supriya Kamoji ◽  
Dipali Koshti ◽  
Alphaeus Dmonte ◽  
Solomon Jose George ◽  
Clayton Sohan Pereira
Keyword(s):  
Image Processing ◽  
Vehicle Identification ◽  
Speed Measurement

Image Processing Based on Tuning-Parameter Stochastic Resonance

2008 ◽  
Author(s):  
Yong-gang Leng ◽  
Yan Guo ◽  
Ying Zhang
Keyword(s):  
Image Processing ◽  
Stochastic Resonance ◽  
Processing Method ◽  
Bistable System ◽  
Tuning Parameter ◽  
Tuning Parameters ◽  
System Parameters ◽  
Image Processing Method ◽  
Output Image

Bistable stochastic resonance (BSR) can change the image signal’s histogram distribution. In this paper, the influence of bistable system parameters on the contrast of the output image is investigated through the observation of histograms. An image-processing method of BSR via tuning parameters is proposed. The experiment on the treatment of an image plus noise has proved that it can improve the quality of the image effectively.

scholarly journals PARALLEL COMPUTING FOR BLURRING IMAGE USING MEAN AND WEIGHTED AVERAGE METHOD

2018 ◽  
Vol 7 (1) ◽  
pp. 11
Author(s):  
M. REZA SYAHZIAR ◽  
P. H. GUNAWAN
Keyword(s):  
Image Processing ◽  
Parallel Computing ◽  
Average Method ◽  
Weighted Average ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Weighted Average Method ◽  
Output Image ◽  
Basic Image ◽  
Run Time

Blurring is one of the basic image processing technique in order to reduce the noise in a image. In this paper two methods of blurring which are called mean and weighted average method will be elaborated. Three different sizes of mask (3 × 3, 5 × 5 and 7 × 7) are given for each method. Moreover, three different of resolution images 1000 × 1000, 700 × 700, and 400 × 400 pixels are used. From the experiment result, the output image by mean method is shown a darker than the weighted average method. Additionally, run time of CPU using mean method is around 77.78 % shorter than weighted average method.

scholarly journals VEHICLE IDENTIFICATION IN PARKING AREAS USING ADAPTIVE BRIGHTNESS THRESHOLDING

2020 ◽  
Vol 14 (1) ◽  
pp. 11-20
Author(s):  
Mohammad Rosyidi ◽  
Sahid Bismantoko ◽  
Tri Widodo
Keyword(s):  
Image Processing ◽  
Monitoring System ◽  
Vehicle Detection ◽  
Smart Camera ◽  
Classic Problem ◽  
Vehicle Identification ◽  
Parking Problem ◽  
Detection Program ◽  
Parking Management ◽  
Management Issues

The problem of parking systems on the street is a classic problem that occurs from year to year, manysolutions are offered in solving the parking problem on the street. The problem is not only related to trafficjams due to in and out of vehicles from the parking spaces but also the parking management issues becomepolemic at this time. A prototype of parking management monitoring system tries to provide solution inmanaging parking by using image processing based smart camera. In a prototype the system test performedon day and night conditions, to anticipate the very contrast difference intensity of pixels during the day or night so as to develop vehicle detection program using adaptive brightness thresholding. The results showthat the program has been running quite well to identify vehicles during day and night timeframe

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Analysis of the 9th November 1990 flare

2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin
Keyword(s):  
Image Processing ◽  
Two Dimensional ◽  
Temporal Behaviour ◽  
Contour Maps ◽  
Dimensional Measurements ◽  
Processing Software ◽  
Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

The 'well-known' theory of electron image formation

1983 ◽  
Vol 41 ◽  
pp. 288-289
Author(s):  
M.A. O'Keefe ◽  
W.O. Saxton
Keyword(s):  
Image Processing ◽  
Image Formation ◽  
Source Profiles ◽  
Electron Image

A recent paper by Kirkland on nonlinear electron image processing, referring to a relatively new textbook, highlights the persistence in the literature of calculations based on incomplete and/or incorrect models of electron imageing, notwithstanding the various papers which have recently pointed out the correct forms of the appropriate equations. Since at least part of the problem can be traced to underlying assumptions about the illumination coherence conditions, we attempt to clarify both the assumptions and the corresponding equations in this paper, illustrating the effects of an incorrect theory by means of images calculated in different ways.The first point to be made clear concerning the illumination coherence conditions is that (except for very thin specimens) it is insufficient simply to know the source profiles present, i.e. the ranges of different directions and energies (focus levels) present in the source; we must also know in general whether the various illumination components are coherent or incoherent with respect to one another.

Sign in / Sign up

Export Citation Format

Share Document