scholarly journals Impact of Input Data on Intelligence Partitioning Decisions for IoT Smart Camera Nodes

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1898
Author(s):  
Isaac Sánchez Leal ◽  
Irida Shallari ◽  
Silvia Krug ◽  
Axel Jantsch ◽  
Mattias O’Nils
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Input Data ◽  
Processing System ◽  
Input Image ◽  
Smart Camera ◽  
Image Size ◽  
Depth Analysis ◽  
Camera Nodes ◽  
Node Energy

Image processing systems exploit image information for a purpose determined by the application at hand. The implementation of image processing systems in an Internet of Things (IoT) context is a challenge due to the amount of data in an image processing system, which affects the three main node constraints: memory, latency and energy. One method to address these challenges is the partitioning of tasks between the IoT node and a server. In this work, we present an in-depth analysis of how the input image size and its content within the conventional image processing systems affect the decision on where tasks should be implemented, with respect to node energy and latency. We focus on explaining how the characteristics of the image are transferred through the system until finally influencing partition decisions. Our results show that the image size affects significantly the efficiency of the node offloading configurations. This is mainly due to the dominant cost of communication over processing as the image size increases. Furthermore, we observed that image content has limited effects in the node offloading analysis.

A FPGA-BASED PARAMETRIZABLE SYSTEM FOR HIGH-RESOLUTION FREQUENCY-DOMAIN IMAGE FILTERING

2005 ◽  
Vol 14 (05) ◽  
pp. 895-921
Author(s):  
ISA SERVAN UZUN ◽  
ABBES AMIRA
Keyword(s):  
Image Processing ◽  
Frequency Domain ◽  
High Performance ◽  
Fourier Transforms ◽  
Processing System ◽  
Image Filtering ◽  
Input Image ◽  
Frame Rate ◽  
Detailed Knowledge ◽  
Image Size

Signal and image processing applications require high computational power with the ability to experiment different algorithms involving matrix transforms. Reconfigurable hardware devices in the form of Field Programmable Gate Arrays (FPGAs) have been proposed to obtain high performance at an economical price. However, the users must program FPGAs at a very low level and must have a detailed knowledge of the architecture of the device being used. In trying to reconcile the dual requirements of high performance and the ease of development, this paper reports the design and realization of the Fast Fourier Transforms (FFTs) using a FPGA-based environment, which enables system designer to meet different system requirements (i.e., chip area, speed, memory, etc.) for a range of signal processing and imaging applications. The use of the proposed environment has been proven by the developing a high-level FPGA-based parametrizable image processing system for frequency-domain filtering application. The system achieves real-time image filtering performance exceeding those of currently available solutions by an order of magnitude in frame rate and input image size.

Real-Time Primary Image Processing

2013 ◽  
pp. 33-53
Author(s):  
Radu Dobrescu ◽  
Dan Popescu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Median Filter ◽  
Processing System ◽  
Input Image ◽  
Sensing Element ◽  
Software Configuration ◽  
Software Algorithms ◽  
Primary Image ◽  
High Level

Image processing operations have been classified into three main levels, namely low (primary), intermediate, and high. In order to combine speed and flexibility, an optimum hardware/software configuration is required. For multitask primary processing, a pipeline configuration is proposed. This structure, which is an interface between the sensing element (camera) and the main processing system, achieves real time video signal preprocessing, during the image acquisition time. In order to form the working neighborhoods, the input image signal is delayed (two lines and three pixels). Thus, locally 3×3 type processing modules are created. A successive comparison median filter and a logical filter for edge detection are implemented for a pipeline configuration. On the other hand, for low level, intermediate, and high level operations, software algorithms on parallel platforms are proposed. Finally, a case study of lines detection using directional filter discusses the performance dependency on number of processors.

scholarly journals IoT Based Image Processing Filters

2021 ◽  
Vol 1 (4) ◽  
pp. 1-13
Author(s):  
Noor Abbas ◽  
Mohamed Ibrahim Shujaa ◽  
Entithaar Mhwes Zghair
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Color Image ◽  
Processing System ◽  
System Generator ◽  
Black And White ◽  
The Common ◽  
Image Processing Algorithms ◽  
Practical Life ◽  
Main Component

Internet of things (IoT) becomes the backbone of the advanced countries and it has a real contribute to exchange the traditional style or way of practical life, even personal life into smart style, with (IoT) technology the life become more and more easy and professional. internet of things achieves various applications coordinate with sensors and standard protocols to apply what is called machine -to- machine connection (M2M), in this paper we will talk more about the concept of (M2M), the main component of internet of things and finally the common protocols that is used in network, in addition to that this work present an IOT operation with processing system using camera for capturing image and Xilinx system generator(XSG)models for designing  image processing algorithms and the result of  the processing is an image with black and white for edge detection and Thresholding models  and gray color image for gray enhancement model.

scholarly journals IoT Based Image Processing Filters

2021 ◽  
Vol 2 (4) ◽  
pp. 1-13
Author(s):  
Noor Abbas ◽  
Mohamed Ibrahim Shujaa ◽  
Entithaar Mhwes Zghair
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Color Image ◽  
Processing System ◽  
System Generator ◽  
Black And White ◽  
The Common ◽  
Image Processing Algorithms ◽  
Practical Life ◽  
Main Component

Internet of things (IoT) becomes the backbone of the advanced countries and it has a real contribute to exchange the traditional style or way of practical life, even personal life into smart style, with (IoT) technology the life become more and more easy and professional. internet of things achieves various applications coordinate with sensors and standard protocols to apply what is called machine -to- machine connection (M2M), in this paper we will talk more about the concept of (M2M), the main component of internet of things and finally the common protocols that is used in network, in addition to that this work present an IOT operation with processing system using camera for capturing image and Xilinx system generator(XSG)models for designing  image processing algorithms and the result of  the processing is an image with black and white for edge detection and Thresholding models  and gray color image for gray enhancement model.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

EMCAT: An automatic image-processing system for electron-microscopic tomography

1994 ◽  
Vol 52 ◽  
pp. 418-419
Author(s):  
Weiping Liu ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Image Processing ◽  
Structural Information ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Processing System ◽  
Electron Microscopic ◽  
Data Set ◽  
Ordered Structures ◽  
Automatic Image Processing ◽  
Em Tomography

Any real world object is three-dimensional. The principle of tomography, which reconstructs the 3-D structure of an object from its 2-D projections of different view angles has found application in many disciplines. Electron Microscopic (EM) tomography on non-ordered structures (e.g., subcellular structures in biology and non-crystalline structures in material science) has been exercised sporadically in the last twenty years or so. As vital as is the 3-D structural information and with no existing alternative 3-D imaging technique to compete in its high resolution range, the technique to date remains the kingdom of a brave few. Its tedious tasks have been preventing it from being a routine tool. One keyword in promoting its popularity is automation: The data collection has been automated in our lab, which can routinely yield a data set of over 100 projections in the matter of a few hours. Now the image processing part is also automated. Such automations finish the job easier, faster and better.

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.

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