scholarly journals Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Lidia Forlenza ◽  
Giancarmine Fasano ◽  
Domenico Accardo ◽  
Antonio Moccia
Keyword(s):  
Image Processing ◽  
Performance Analysis ◽  
Data Rate ◽  
Obstacle Detection ◽  
Image Processing Technique ◽  
Identification System ◽  
Flight Performance ◽  
Image Processing Algorithm ◽  
Position Measurement ◽  
Detection Range

This paper is focused on the development and the flight performance analysis of an image-processing technique aimed at detecting flying obstacles in airborne panchromatic images. It was developed within the framework of a research project which aims at realizing a prototypical obstacle detection and identification System, characterized by a hierarchical multisensor configuration. This configuration comprises a radar, that is, the main sensor, and four electro-optical cameras. Cameras are used as auxiliary sensors to the radar, in order to increase intruder aircraft position measurement, in terms of accuracy and data rate. The paper thoroughly describes the selection and customization of the developed image-processing techniques in order to guarantee the best results in terms of detection range, missed detection rate, and false-alarm rate. Performance is evaluated on the basis of a large amount of images gathered during flight tests with an intruder aircraft. The improvement in terms of accuracy and data rate, compared with radar-only tracking, is quantitatively demonstrated.

scholarly journals Speedy Detection Module for Abandoned Belongings in Airport Using Improved Image Processing Technique

2021 ◽  
Vol 3 (4) ◽  
pp. 251-262
Author(s):  
A. Sathesh ◽  
Yasir Babiker Hamdan
Keyword(s):  
Image Processing ◽  
Video Surveillance ◽  
Extended Period ◽  
Processing Technique ◽  
Object Identification ◽  
Image Processing Technique ◽  
Identification System ◽  
Research Issues ◽  
Identification Approach ◽  
Edge Based

Recently, in computer vision and video surveillance applications, moving object recognition and tracking have become more popular and are hard research issues. When an item is left unattended in a video surveillance system for an extended period of time, it is considered abandoned. Detecting abandoned or removed things from complex surveillance recordings is challenging owing to various variables, including occlusion, rapid illumination changes, and so forth. Background subtraction used in conjunction with object tracking are often used in an automated abandoned item identification system, to check for certain pre-set patterns of activity that occur when an item is abandoned. An upgraded form of image processing is used in the preprocessing stage to remove foreground items. In subsequent frames with extended duration periods, static items are recognized by utilizing the contour characteristics of foreground objects. The edge-based object identification approach is used to classify the identified static items into human and nonhuman things. An alert is activated at a specific distance from the item, depending on the analysis of the stationary object. There is evidence that the suggested system has a fast reaction time and is useful for monitoring in real time. The aim of this study is to discover abandoned items in public settings in a timely manner.

Research on Texture Effect of Image Processing Algorithm Based on Parallel Computing Model

2013 ◽  
Vol 846-847 ◽  
pp. 1068-1071
Author(s):  
Yu Fu
Keyword(s):  
Image Processing ◽  
Parallel Computing ◽  
Dominant Role ◽  
Three Dimensional ◽  
Good Effect ◽  
Identification System ◽  
City Image ◽  
Image Processing Algorithm ◽  
Short Period ◽  
The City

Under the background of information age, the computer plays a dominant role, and especially the emergence of the network makes the parallel computing possible. It makes the computer do a lot of image information processing in a short period of time, so as to obtain the best effect of art image design. Based on this principle, we design the model and algorithm of art image design through computer. We use normal bump of texture image processing technology, transforming two-dimensional image to 3D display, so as to achieve a good effect of art show. Finally, based on the construction of city public environmental art and city image, using the public environmental logo design as an example, we study the three-dimensional effect in identification system, so as to get a good image of the city, and provide a theoretical reference for the study of city public art and the image of the city.

CALIBRATION OF OPTICAL SILICONE TACTILE SENSOR

2015 ◽  
Vol 76 (8) ◽  
Author(s):  
Muhammad Azmi Ayub ◽  
Nurul Fathiah Mohamed Rosli ◽  
Abdul Halim Esa ◽  
Amir Abdul Latif ◽  
Roseleena Jaafar
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Tissue Characterization ◽  
Tactile Sensor ◽  
Computer Algorithm ◽  
Image Processing Technique ◽  
Image Processing Algorithm ◽  
Study Results ◽  
Analysis Computer ◽  
Sense Of Touch

This paper presents the calibration and development of a computer algorithm to analyze the deformation behavior of the changes in the diameter of a silicone tactile sensor using an image processing technique. In addition, the scope of the work also aims to evaluate the sensor’s sensitivity. Unfortunately, the current design and the system of tactile sensor is not suitable for soft tissue characterization because the sensor system uses multiple optical waveguide transduction technique which is relatively large in diameter size, not flexible and less accurate which is lack of ‘sense of touch’. Hence, an image processing algorithm has been developed using image processing software. The results indicate significant increase in the change in the diameter images. The overall image analysis technique involves the following main stages: image acquisition (capturing of images) and image processing (thresholding, noise filtering, component labeling, and geometric properties). The use of fiber scope and as well as an effective image analysis computer algorithm will facilitate and automate the process for sensing information. This study results in finding the mathematical model of a new technique to establish the sensitivity value of the silicon tactile sensor where a higher sensitivity indicates a more sensitive sensor. The outcomes of this research shows that the functionality of the developed new image analysis computer algorithm technique is suitable to establish the sensing information on the ‘sense of touch’ such as hardness, roughness and other physical characteristics of the surfaces.

scholarly journals The Development of Diseases Identification System in Paddy Plant Using Image Processing Technique

2019 ◽  
Vol 2 ◽  
pp. 231-236
Author(s):  
Alex Wenda ◽  
Nanda Putri Miefthawati ◽  
Mas’ud Zein
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Blast Disease ◽  
Brown Spot ◽  
Image Processing Technique ◽  
Identification System ◽  
Spot Disease ◽  
Leaf Disease ◽  
Brown Spot Disease ◽  
Processing Techniques

There are three types of paddy leaf disease that have similar symptoms, making it difficult for farmers to identify them, namely Blast Disease, Brown-Spot Disease, and Narrow Brown-Spot Disease. This paper aims to develop an application to identify paddy leaf disease automatically. Several important aspects of the development of software engineering such as usability, interactivity, and simplicity have been considered. Image processing techniques, namely Blobs analysis and color segmentation are used to get the characteristics of diseased leaf; these characteristics are then used to identify the type of diseases using a rule-based expert system. The results obtained indicate that the developed system recognition capability is considered satisfactory with an accuracy of 94.7%.

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.

Estimating OLED Display Device Lifetime from pixel and screen brightness and its application

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Model Parameters ◽  
Display Device ◽  
Image Processing Algorithm ◽  
Pixel Value ◽  
Device Lifetime ◽  
The Impact ◽  
Oled Display

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.

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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