Unmanned aerial vehicle based forest fire monitoring and detection using image processing technique

2016 ◽  
Author(s):  
Chi Yuan ◽  
Khaled A. Ghamry ◽  
Zhixiang Liu ◽  
Youmin Zhang
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicle ◽  
Forest Fire ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Fire Monitoring ◽  
Aerial Vehicle

scholarly journals Data collection task planning of a fixed-wing unmanned aerial vehicle in forest fire monitoring

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hao Zhang ◽  
Lihua Dou ◽  
Bin Xin ◽  
Jie Chen ◽  
Minggang Gan ◽  
...  
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicle ◽  
Forest Fire ◽  
Task Planning ◽  
Fire Monitoring ◽  
Aerial Vehicle

scholarly journals Effectiveness Analysis of Transverse Rumble Strip using the Image Processing Technique

2019 ◽  
Vol 8 (9S3) ◽  
pp. 1360-1365
Keyword(s):  
Image Processing ◽  
High Performance ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Handheld Device ◽  
Image Recording ◽  
Traffic Calming ◽  
Aerial Vehicle ◽  
Public Work Department ◽  
Rumble Strip

Transverse rumble strip is a traffic calming device which usually installed at the vicinity of schools and accident prone spots. The Malaysia Public Work Department has introduced the latest high performance thermoplastic rumble strips as an intervention along blackspot stretches in Malaysia. This study was carried out to investigate the effectiveness of the new rumble strips installed at SMK Sri Lalang in Kluang, Johor, with respect to the operational speed variation immediately upstream and downstream of the rumble strips area. Operational speed data acquisition was carried out by using the unmanned aerial vehicle or drone and image processing technique. Drone can be used as an alternative to other image recording devices such as telescopic mast. The presence of a drone is often unnoticed by drivers thus giving the advantage of obtaining naturalistic data. The footages from drone were analysed using the image processing technique to ensure every vehicles were taken into account, compare to handheld device such as speed laser gun that can only detect speed of selected vehicles. The operational speeds were analyzed to obtain parameters namely pace, median, and 85th percentiles speed. The results proved that the new rumble strips succeed to reduce speed of vehicles from 7 to 13 kilometer per hour, which are 7 to 18 percent from the initial speed, respectively.

A New Image Processing Technique for STEM

1974 ◽  
Vol 32 ◽  
pp. 432-433
Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Elastic Scattering ◽  
Field Emission ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Energy Analyzer ◽  
Scanning Microscope ◽  
Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

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