scholarly journals Variant of digital image processing application for recognition of textures on the optoelectronic image

2021 ◽  
Vol 31 (2) ◽  
pp. 15-21
Author(s):  
A. A. Makarenko
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Importance ◽  
Textural Analysis ◽  
Processing Application ◽  
Surface Image ◽  
Local Properties ◽  
Analysis System ◽  
A Site

Problem statement. Search of plants on the observable image is important function of the UAV onboard optoelectronic systems. One of methods of the observable surface image analysis is the textural analysis which allows to select homogeneous areas on the observable image and to define contours of the plants which are covered with various structures and not having boundaries accurately defined on the image.The purpose. To develop algorithm of the textural analysis of a site terrestrial or a water surface, fulfilled by the digital image processing. In paper the image textural analysis algorithm fulfilled on the basis of an evaluation of local spectral and statistical performances of the image is presented.Results. The algorithm according to which for each element of the analyzed image in a square environ from 1024 elements the local spectra oriented under different angles and local variances are calculated is developed. Calculated by digital image processing amplitudes of a spectrum and variances values characterize texture parameters in a environ of each element of the image. Points of considerable modifications of local properties define position of boundaries between various structures.The practical importance. Results of the considered algorithm trials as a part of simulation model have shown a possibility of its application in the UAV onboard image observed analysis system.

Computer Digital Image Processing Application and Research

2014 ◽  
Vol 926-930 ◽  
pp. 3389-3392 ◽  
Author(s):  
Hong Peng Yang
Keyword(s):  
Image Processing ◽  
Information Technology ◽  
Digital Image Processing ◽  
Digital Image ◽  
Present Situation ◽  
Communication Management ◽  
Processing Application ◽  
Image Information ◽  
Image Processing Application ◽  
Characteristics Of Image

This paper Based on the analysis of the characteristics of image information and image information technology, analyzes some field demand for image information technology, analyzed the image application of news communication management, Analysis of domestic and foreign research present situation, proposed to increase the image signal, research ideas application depth and the breadth of color and its technology in the field , to accelerate the process of social normalization.

Development and Research of Colony Analysis System Based on Image Processing

2013 ◽  
Vol 706-708 ◽  
pp. 765-770
Author(s):  
Ming Zhu Lu
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Software System ◽  
Analysis System

In this paper, after the simple and practical hardware is connected with the host, the software system is used to count the colony of bacteria, the results are statistically analyzed, and the obtained data can be displayed, saved and printed. The software is developed with VC++, using digital image processing knowledge to do some research on automatic analyzing the count of colony.

scholarly journals Quasi-Delay-Insensitive Implementation of Approximate Addition

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1919
Author(s):  
Padmanabhan Balasubramanian ◽  
Nikos E. Mastorakis
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Cycle Time ◽  
Data Communication ◽  
Oxide Semiconductor ◽  
Approximate Computing ◽  
Processing Application ◽  
Design Metrics ◽  
Reduction In Area

Asynchronous quasi-delay-insensitive (QDI) implementation of approximate addition is described in this article. The objective is to provide an insight into the optimization in design metrics that can be achieved with approximate addition compared to accurate addition based on a QDI implementation by considering a practical digital image processing application. For the QDI implementation, some approximate adder architectures are considered which are deemed suitable for both ASIC and FPGA based implementations. The accurate and approximate adders considered are of size 32-bits. The delay-insensitive dual-rail code was used for data encoding, and four-phase return-to-zero (RTZ) and return-to-one (RTO) handshake protocols were used separately for data communication. The implementations used a 32/28-nm complementary metal oxide semiconductor (CMOS) technology. The simulation results show that an approximate adder HOERAA achieves a 19.7% reduction in cycle time, a 12.5% reduction in area, and an 17.7% reduction in energy compared to the accurate adder for RTZ handshaking. For RTO handshaking, HOERAA achieves an 18.7% reduction in cycle time, a 12.4% reduction in area, and a 16.6% reduction in energy compared to the accurate adder. Another approximate adder HEAA achieves a 19.7% reduction in cycle time, a 12.9% reduction in area, and a 20.2% reduction in energy, compared to the accurate adder for RTZ handshaking. For RTO handshaking, HEAA achieves an 18.7% reduction in cycle time, a 12.9% reduction in area, and a 19.2% reduction in energy compared to the accurate adder. Nevertheless, the RTO handshaking is preferable to RTZ handshaking as the former facilitates slightly better optimizations in design metrics compared to the latter. The mean absolute error (MAE) and the root mean square error (RMSE), which are popular error metrics used in approximate computing, were calculated for the approximate adders and are given for a comparison. While the MAE of HOERAA and HEAA are comparable, HOERAA has 8.6% reduced RMSE compared to HEAA. Digital image processing results based on accurate and approximate additions are also given, to substantiate the usefulness of approximate addition.

Low-cost digital-image processing and analysis system for on-line morphometric measurements of sem images

1988 ◽  
Vol 46 ◽  
pp. 432-433
Author(s):  
Michael E. Rosenfeld
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Low Cost ◽  
Image Acquisition ◽  
Lookup Table ◽  
Sem Images ◽  
Electron Microscopes ◽  
Image Averaging ◽  
Analysis System

The widespread use of digital image processing systems for high resolution morphometric applications has been limited by the cost and difficulty of interfacing systems to electron microscopes. The recent development of image acquisition boards and software for PC-AT based systems and the availability of scanning electron microscopes that are capable of scanning at true TV rates (RS-170 compatible signals), have alleviated these problems. We have assembled a system consisting of a Compaq Portable 286 (Compaq Computer Corp. Houston, TX) equipped with an FG-100 image acquisition board (Imaging Technology Inc. Woburn, MA), interfaced with a Philips 515 SEM containing a motorized stage and Edax stage controller (Philips Electronics Inc. Mahwah, NJ).Utilizing commercially available software, this system has extensive image processing and morphometric analysis capabilities. For example, because TV scan rates generate images with low signal to noise ratios, improvement of the image quality is possible via real time image averaging and background subtraction using the the FG-100 board Feedback/Input lookup table.

Digital Image Processing Application on Shallots Quality Determination

2019 ◽  
Vol 1 (2) ◽  
pp. 159-163
Author(s):  
Jane I. Litouw ◽  
Feisy D. Kambey ◽  
Pinrolinvic D.K. Manembu
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Economic Value ◽  
Processing Application ◽  
North Sulawesi ◽  
Marketing Process ◽  
Image Processing Application ◽  
Central Production

Shallot is a horticultural vegetable commodity that has high economic value. North Sulawesi is one of the central production of shallots which has several onion varieties developed and marketed. Technology that can help determine the quality of shallots is needed to simplify the marketing process. This study aims to simulate a system for determining the quality of shallots based on their color and size. The shallot bulb image of several different varieties is input for this system to be able to provide good and bad shallot marks.

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