scholarly journals Perbandingan Metode Cropping pada Sebuah Citra untuk Pengambilan Motif Tertentu pada Kain Songket Sumatera Barat

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 97-107
Author(s):  
Yuhandri
Keyword(s):  
Image Processing ◽  
Data Processing ◽  
Programming Language ◽  
Region Of Interest ◽  
West Sumatra ◽  
Matlab Programming ◽  
Polygon Method

At the time of image processing where we only need a certain part of an image according to the needs called the Region of Interest (ROI), in order to obtain that, the processing is carried out in a cropping process. Cropping is mostly done by researchers, especially those who research in the field of image processing in order to do data processing on an image, the results of cropping process on an image are usually done to make it easier for researchers to focus on something that is needed only. In this study is to compare existing cropping methods to get a motif found in an image of West Sumatra songket fabric. In this study using the method of cropping rectangle, square, circle, ellipse, polygon and tested using the Matlab programming language. The results of comparison of 5 cropping methods for taking certain motifs on the songket image with 5 different songket image samples, shows that the best results are obtained by using the polygon method. Polygon method can reach certain coordinate points in a songket image, so that the results of cropping are better and other motives that are carried along during the cropping process can be reduced.

Image Processing

2017 ◽  
pp. 223-247
Author(s):  
Singaraju Jyothi ◽  
Dadala Mary Mamatha
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Programming Language ◽  
Computer Experiments ◽  
Intermediate Level ◽  
Hyperspectral Images ◽  
Key Concepts ◽  
Matlab Programming ◽  
Modern Image

This chapter gives an introductory to intermediate level text on the science of image processing. It employs the Matlab programming language to illustrate some of the elementary key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the chapter offers a framework within which the concepts can be understood by a series of well-chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Particularly, the modern applications such as agriculture, aquaculture, food industrial analysis and Hyperspectral images analysis are discussed in this chapter with illustrations using Matlab.

scholarly journals IBK – A NEW TOOL FOR MEDICAL IMAGE PROCESSING

2010 ◽  
Vol 13 (4) ◽  
pp. 20-27
Author(s):  
Linh Duy Tran ◽  
Linh Quang Huynh
Keyword(s):  
Image Processing ◽  
Diagnostic Imaging ◽  
3D Reconstruction ◽  
Programming Language ◽  
Medical Image ◽  
Medical Images ◽  
Rapid Development ◽  
Medical Image Processing ◽  
Matlab Programming

Along with the rapid development of diagnostic imaging equipment, software for medical image processing has played an important role in helping doctors and clinicians to reach accurate diagnoses. In this paper, methods to build a multipurpose tool based on Matlab programming language and its applications are presented. This new tool features enhancement, segmentation, registration and 3D reconstruction for medical images obtained from commonly used diagnostic imaging equipment.

scholarly journals PRACTICAL APPROACH FOR HYPERSPECTRAL IMAGE PROCESSING IN PYTHON

2018 ◽  
Vol XLII-3 ◽  
pp. 45-52
Author(s):  
L. Annala ◽  
M. A. Eskelinen ◽  
J. Hämäläinen ◽  
A. Riihinen ◽  
I. Pölönen
Keyword(s):  
Image Processing ◽  
Data Analysis ◽  
Data Processing ◽  
Programming Language ◽  
Hyperspectral Image ◽  
Hyperspectral Data ◽  
Analysis Pipeline ◽  
Hyperspectral Image Processing ◽  
Processing Pipeline ◽  
The World

Python is a very popular programming language among data scientists around the world. Python can also be used in hyperspectral data analysis. There are some toolboxes designed for spectral imaging, such as Spectral Python and HyperSpy, but there is a need for analysis pipeline, which is easy to use and agile for different solutions. We propose a Python pipeline which is built on packages xarray, Holoviews and scikit-learn. We have developed some of own tools, MaskAccessor, VisualisorAccessor and a spectral index library. They also fulfill our goal of easy and agile data processing. In this paper we will present our processing pipeline and demonstrate it in practice.

Image Processing

2018 ◽  
pp. 946-971
Author(s):  
Singaraju Jyothi ◽  
Dadala Mary Mamatha
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Programming Language ◽  
Computer Experiments ◽  
Intermediate Level ◽  
Hyperspectral Images ◽  
Key Concepts ◽  
Matlab Programming ◽  
Modern Image

This chapter gives an introductory to intermediate level text on the science of image processing. It employs the Matlab programming language to illustrate some of the elementary key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the chapter offers a framework within which the concepts can be understood by a series of well-chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Particularly, the modern applications such as agriculture, aquaculture, food industrial analysis and Hyperspectral images analysis are discussed in this chapter with illustrations using Matlab.

Five-Lump Kinetic Model for the Catalytic Cracking Process\

2018 ◽  
Vol 69 (10) ◽  
pp. 2633-2637
Author(s):  
Raluca Dragomir ◽  
Paul Rosca ◽  
Cristina Popa
Keyword(s):  
Kinetic Model ◽  
Programming Language ◽  
Catalytic Cracking ◽  
Computational Method ◽  
Industrial Data ◽  
New Model ◽  
Optimization And Control ◽  
Cracking Process ◽  
And Control ◽  
Matlab Programming

The main objectives of the present paper are to adaptation the five-kinetic model of the catalytic cracking process and simulation the riser to predicts the FCC products yields when one of the major input variable of the process is change. The simulation and adaptation are based on the industrial data from Romanian refinery. The adaptation is realize using a computational method from Optimization Toolbox from Matlab programming language. The new model can be used for optimization and control of FCC riser.

Digital Image Processing for Detecting and Classifying Plant Diseases

2017 ◽  
Vol 2 (11) ◽  
pp. 1-7
Author(s):  
Izay A. ◽  
Onyejegbu L. N.
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Programming Language ◽  
Design Methodology ◽  
Fuzzy Logic Controller ◽  
Object Oriented ◽  
Plant Diseases ◽  
Analysis And Design ◽  
Crop Diseases ◽  
Growing Population

Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of great benefit to farmers and will encourage them in investing their resources since crop diseases can be detected and eliminated early.

scholarly journals Demineralization Depth Using QLF and a Novel Image Processing Software

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Jun Wu ◽  
Zachary R. Donly ◽  
Kevin J. Donly ◽  
Steven Hackmyer
Keyword(s):  
Image Processing ◽  
Linear Regression ◽  
Polarized Light ◽  
Region Of Interest ◽  
Linear Regression Method ◽  
Percent Loss ◽  
Significant Linear Correlation ◽  
Processing Software ◽  
Image Processing Software ◽  
Imagej Software

Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was to study this correlation to estimate demineralization depth. Extracted teeth were collected. Artificial caries-like lesions were created and imaged with QLF. Novel image processing software was developed to measure the largest percent of fluorescence loss in the region of interest. All teeth were then sectioned and imaged by polarized light microscopy. The largest depth of demineralization was measured by NIH ImageJ software. The statistical linear regression method was applied to analyze these data. The linear regression model wasY=0.32X+0.17, whereXwas the percent loss of fluorescence andYwas the depth of demineralization. The correlation coefficient was 0.9696. The two-tailed t-test for coefficient was 7.93, indicating theP-value=.0014. TheFtest for the entire model was 62.86, which shows theP-value=.0013. The results indicated statistically significant linear correlation between the percent loss of fluorescence and depth of the enamel demineralization.

A New Approach of Expanding Data Processing Ability for Configuration Monitoring Software MCGS Based on OLE

2011 ◽  
Vol 65 ◽  
pp. 295-298 ◽  
Author(s):  
Fan Yang ◽  
Cai Li Zhang
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Monitoring System ◽  
Programming Language ◽  
Configuration Software ◽  
Time Data ◽  
Software Configuration ◽  
Processing Ability ◽  
Significant Performance ◽  
Monitoring Software

Considering the insufficient ability of data processing existed in configuration software, a scheme integrated both advantages of advanced programming language and configuration software is provided. In this scheme real-time data acquisition and complex processing are achieved by advanced programming language, the human-computer interface and other functions of the monitoring system are achieved by configuration software. Configuration software achieves the purpose of expanding data processing ability by data communications between advanced programming language and configuration software based on OLE technology. The practical application result indicates that the data processing ability of configuration software can be effectively expanded based on OLE technology, which has well stability and real-time, and can play significant performance in complex parameters and data processing related monitoring system.

Quantitative Characterization of Pore Arrangement in Pore Bands in Pressure Die Cast AZ91 Magnesium Alloy by Image Processing

2006 ◽  
Vol 514-516 ◽  
pp. 1477-1482 ◽  
Author(s):  
D. G. Leo Prakash ◽  
Doris Regener
Keyword(s):  
Image Processing ◽  
Magnesium Alloy ◽  
Programming Language ◽  
Az91 Magnesium Alloy ◽  
Quantitative Characterization ◽  
Processing Defect ◽  
Die Cast ◽  
Az91 Magnesium ◽  
Pore Arrangement

Microporosity is the major processing defect in pressure die cast AZ91 magnesium alloy. There is a big difference in the arrangement of pores in different regions of the castings. The present work explains the pore arrangement in pore bands and other regions. Quantification and characterization of pores in pore bands is expected to be useful to understand the process-propertymicrostructure correlation. A computational microstructural (image) analyzing technique has been developed by a programming language to quantify and analyze the micropores in pore bands. The pore band regions and the rest were separated and quantified. In addition, image analyzing technique was used to measure the clustering tendency of porosity in pore bands and it was compared with other regions.

scholarly journals RANCANG BANGUN APLIKASI SISTEM PENDUKUNG KEPUTUSAN SELEKSI PEMILIHAN DESTINASI PARIWISATA SUMATERA BARAT MENGGUNAKAN METODE ELECTRE

2019 ◽  
Vol 12 (1) ◽  
pp. 1-10
Author(s):  
Dony Novaliendry ◽  
Yuli Pusparani
Keyword(s):  
Decision Making ◽  
Programming Language ◽  
Decision Making Process ◽  
The West ◽  
Tourist Attractions ◽  
Marine Tourism ◽  
West Sumatra ◽  
Beach Tourism ◽  
The Web

Tourism is one of the activities carried out by humans that has a purpose as entertainment. Human who travel are referred to as tourist. West Sumatra Province is one of the regions with the best tourism is sea tourism and land tourism. Marine tourism consists of beach tourism, island tourism and lake tourism, while mainland tourism consists of tourist panorama, mountain tours, hill tours and others. However, only a portion of West Sumatra's tourist attractions are known to tourists, because of this information is obtained so that there are still many tourist attractions in West Sumatra unknown to tourists from outside the West Sumatra region. To overcome this problem, a system is needed that can be used to support the electoral decision-making process in West Sumatra. This system is built on the Web, using the PHP programming language and Laravel Framework and MySQL as a Database. The method used in this system is the Elimination of Et Choix Traduisant la Realite (ELECTRE). The use of Elimination Et Choix Traduisant la REalite (ELECTRE) can help provide information in West Sumatra, which is in accordance with the wishes of tourists according to the specified criteria. With the help of this system, the information obtained will make it easier for tourists to find tourist attractions.

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