PENGACAKAN CITRA DIGITAL DENGAN METODE TRANSFORMASI FIBONACCI DAN LUCAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Riah Ukur Ginting ◽  
Dini M Hutagalung
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Two Dimensions ◽  
Image Intensity ◽  
Image Security ◽  
Original Shape ◽  
Transformation Methods ◽  
Arnold Transformation

The image is a function of 2 (two) dimensions f (x, y), where x and y are the coordinates that show the space, and the value of f (x, y) is called the image intensity at the coordinates. Digital image is an image that has a limited value of x, y, f (x, y). Digital images consist of a limited number of elements, where each element has coordinates and values. These elements are called pixels (Gonzalez and Woods., 2007). One method of randomization in the image is Arnold Transformation where the image is transformed using a cat map, which is a 2x2 matrix. After transformation, the value of each pixel gets new coordinates until the image does not have its original shape. As a result of the above problems, the author uses the basis of Arnold Transformation, to change the value of the map paint with Fibonacci and Lucas series for designing this application so that the randomization results have a higher level of security. The purpose of this study is (1) to do digital image randomization using Fibonacci and Lucas transforms so that the image does not have its original shape anymore and (2) save the randomized images into storage memory. The benefits of this study are (1) the design of digital image randomization applications, so that image security increases and (2) the effectiveness of the Fibonacci and lucas transformation methods in digital image randomization.Keywords: Image Processing, Fibonacci and Lucas

The Research of the Digital Image-Processing of Colorful Painting

2014 ◽  
Vol 926-930 ◽  
pp. 3709-3712
Author(s):  
Yun Zhan ◽  
Jie Lei
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Color Space ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Practical Application ◽  
Digital Image Processing Technique ◽  
Basic Concepts

The research of the digital image-processing of colorful painting is mainly to aim at the objective circumstances between the digital image and drawing flat vision distortion. This paper is based on the basic concepts of the digital image-processing technique. It expounds digital images advantage, collect, characteristics, recognition and the choice of the color space, the practical application of the digital image in the painting area in sequence. Through the study, we found computer has powerful ability to analyze management in the colorful painting field.

scholarly journals ANALYSIS OF GEOMETRIC CHARACTERISTICS OF TWO-PHASE POLYMER-SOLVENT SYSTEMS DURING THE SEPARATION OF SOLUTIONS ACCORDING TO THE INTENSITY OF THE IMAGE OF MICROGRAPHS

2019 ◽  
Vol 16 (32) ◽  
pp. 551-559
Author(s):  
Nikolay A. BULYCHEV ◽  
Valeriy V. BODRYSHEV ◽  
Lev N. RABINSKIY
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Droplet Surface ◽  
Droplet Growth ◽  
Two Phase ◽  
Image Intensity ◽  
Composition And Structure ◽  
Physical And Chemical ◽  
Instrumental Methods

This paper discusses the study of the shapes and sizes of polymer droplets formed during the phase separation of their solutions with increasing temperature, as well as the parameters of the transitional layers of polymer condensing on the droplet surface formed during this process. For the study, a copolymer of polyethylene oxide and polypropylene oxide was chosen, whose behavior in aqueous solutions and the change in hydrophilic-hydrophobic balance depends on temperature. It has been established that the application of the method of digital image processing allows the introduction of the quantitative criterion – image intensity of a photo. For a more detailed study of the behavior of polymer molecules at the phase boundary, depending on the temperature, the studies of the temperature-dependent behavior of a number of polymers of different composition and structure have been carried out. The use of the digital image processing method for polymer droplets makes it possible to determine the parameters of droplets and their transition layers, to determine the dynamics of nucleation and droplet growth and density changes in the transition layer by the image intensity parameter. The paper has found out that embryos of pluronic are unevenly distributed by volume of solution with the presence of zones with a maximum number of molecules and a zone with a minimum of assembly of molecules. The practical value of the work is in the fact that the results of the study can be used to assess the dynamics of the separation of polymer solutions without involving the time-consuming and expensive instrumental methods of physical and chemical analysis.

scholarly journals The Segmentation of Neutron Digital Radiography Image through the Edge Detection Method

2020 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Ayu Fitri Amalia ◽  
Widodo Budhi
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Neutron Beam ◽  
Digital Radiography ◽  
Digital Image ◽  
Digital Images ◽  
Neutron Radiography ◽  
Detection Methods

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic, and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection methods used in this study were Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny technique provided edge gradient orientation which resulted in a proper localization.

Determination of the Delamination Percentage of Compacted Bamboo Guadua Using Extended Field Digital Images Processing

2014 ◽  
Vol 600 ◽  
pp. 15-20 ◽  
Author(s):  
Edgar Torres ◽  
Patricia Luna ◽  
Caori Takeuchi
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Digital Processing ◽  
Extended Field ◽  
Images Processing ◽  
Digital Images Processing ◽  
Delamination Area

The percentages of delamination of Compacted Bamboo Guadua were calculated using digital images processing. Three processes were done in the development of this project: tests of delamination, digital image pre-processing and digital image processing of the images acquired. The test of delamination followed the ASTM 5824. The digital image pre-processing was supported on the acquisition of sequences of images, doing a sweeping of the samples, and finally the digital processing worked in the generation of panoramas with sequences of images acquired from the sample. Additionally, the total area from the sample was measured digitally, the segmentation and the measurement of delamination area were done, finding the ratio between the delamination area and the total area of the sample, and obtaining the value of percentage of delamination per section. Digitally, the obtained values for samples made with fibers obtained from Stick (Varillón), Top (Sobrebasa), Middle (Basa) parts and mixture of them were 16.97%, 9.96%, 5.96% and 8.64% respectively.

Methodology of Digital Image Acquisition and Digital Inspection for Liquid Penetrant and Magnetic Particle Testing

2004 ◽  
Author(s):  
Tetsuo Taguchi ◽  
Masako Mori ◽  
Michiaki Kurosaki ◽  
Mikio Takagi
Keyword(s):  
Image Processing ◽  
Support System ◽  
Digital Image ◽  
Magnetic Particle ◽  
Surface Defects ◽  
Digital Images ◽  
Visual Resolution ◽  
Calibration Methods ◽  
Remote Inspection ◽  
Visual Conditions

Liquid Penetrant Test (PT) and Magnetic Particle Test (MT) are widely used in industry to detect surface defects. It is extremely important to maintain the repeatability and reproducibility of PT and MT so that they are able to detect any defect that might affect the quality of a product, especially the weld joints of welded structures. In the present paper, calibration methods for visual conditions for PT and MT are proposed with the use of a visual resolution gauge. In addition, a “PT/MT support System” applying digital image processing techniques, which enables us to perform “Remote Inspection” is proposed. A visual resolution gauge is a transparent plate on which line pairs are printed with equivalent hue to the indications of PT and MT, which ensures proper resolution for visual testing. In Japan, the standard for calibration methods for visual conditions using these resolution gauges for PT and MT were published in the Japanese Industrial Standards (JIS) Z 2340 in 2002. By applying these visual resolution gauges, we developed a “PT/MT support system.” In this system, the PT or MT digital images, which are captured by digital camera with resolution gauges, are converted into hue and saturation data by image processing. These images are then divided into two categories of defects and false indications. This is useful in detecting defects and establishing standard evaluation criteria. Furthermore, this will also enable “Remote Inspection,” which is a method in which PT and MT digital images are observed from remote place (as opposed to direct observations). This enables the possibility of inspections being performed from remote places and manufacturers, inspectors, customers, and government inspectors in remote areas can share the inspection results as electronic data.

scholarly journals Forensic Science Research Summary for Forgery Detection of Digital Images

2020 ◽  
Vol 9 (3) ◽  
pp. 1608-1618
Keyword(s):  
Image Processing ◽  
Forensic Science ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Science Research ◽  
Forensic Sciences ◽  
Forgery Detection ◽  
New Approach ◽  
Scanned Images

An important measure of proof collection, storage, and authentication in forensic sciences, which decide the safety and security of any system documents, which can be either portable document formats or scanned images. To gather evidence, or plan a forensic investigation digital images are secured with different modern methodologies. Digital image analysis includes image recovery and surveillance for image information improvement. The goal of forgery detection is to maximize the extraction of information from manipulated images, particularly noisy and post-processed images. Because digital image processing is becoming popular with many advantages in scientific and engineering applications, the forgery techniques are also growing at a rapid rate. Therefore, the main focus is on different types of forgery detection in digital image processing with the help of all transform techniques and comparing their best results for further improvement in order to generate a new approach for a future forensic science investigation.

scholarly journals GEOMETRY ANALYSIS OF SUPERSONIC FLOW AROUND TWO AXIALLY SYMMETRICAL BODIES USING THE DIGITAL IMAGE PROCESSING METHOD

2019 ◽  
Vol 16 (33) ◽  
pp. 541-548
Author(s):  
V. V. BODRYSHEV ◽  
N. P. KORZHOV ◽  
L. G. NARTOVA ◽  
L. N. RABINSKIY
Keyword(s):  
Shock Wave ◽  
Image Processing ◽  
Supersonic Flow ◽  
Shock Waves ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Method ◽  
Intensity Parameter ◽  
Image Intensity ◽  
Video Frames

The scientific paper covers the research of the geometric laws of the intersection of two angle shock waves formed upon supersonic flow with zero incidence of two bodies. The positions of shock waves engaging with the surfaces of the models of axially symmetrical bodies are determined. Systems of analysis and decision support are based on the involvement of photographs (video frames) processing results by the image intensity parameter. This method facilitates the identification of the shock wave angle with a higher rate of probability, and, therefore, the more precise definition of the engagement points of the shock wave with the researched surface. This paper analyses the video frames of the interaction of shock waves using the digital image processing method by the image intensity parameter, the formulas determining the intersection point of shock waves, that occur upon the supersonic motion of two axially symmetric bodies near each other, are determined. The positions of the point of contact of the outgoing shock wave with the surface of the second object were determined, factoring in the difference in the the incoming and outgoing shock wave angles. The availability of sufficient statistics allowed to identify theoretical relationships between the gas flow rate, the geometric parameters of objects, the distances between them, density, pressure and image intensity in photographs. The method of digital image processing can be applied to the analysis of shock waves during the flow around a supersonic stream of bodies with a "blunt" end. The shock wave front in this case is described by a secondorder curve, upon the analysis of which it is necessary to select a portion of this curve, replacing it with some accuracy by a straight line segment (Mach line).

Digital Images Segmentation Using a Physical-Inspired Algorithm

2017 ◽  
pp. 975-996 ◽  
Author(s):  
Diego Oliva ◽  
Aboul Ella Hassanien
Keyword(s):  
Image Processing ◽  
Evolutionary Algorithms ◽  
Digital Image ◽  
Digital Images ◽  
Threshold Value ◽  
Computational Effort ◽  
Multilevel Thresholding ◽  
Computational Overhead ◽  
Otsu’S Method ◽  
Number Of Iterations

Segmentation is one of the most important tasks in image processing. It classifies the pixels into two or more groups depending on their intensity levels and a threshold value. The classical methods exhaustively search the best thresholds for a spec image. This process requires a high computational effort, to avoid this situation has been incremented the use of evolutionary algorithms. The Electro-magnetism-Like algorithm (EMO) is an evolutionary method which mimics the attraction-repulsion mechanism among charges to evolve the members of a population. Different to other algorithms, EMO exhibits interesting search capabilities whereas maintains a low computational overhead. This chapter introduces a multilevel thresholding (MT) algorithm based on the EMO and the Otsu's method as objective function. The combination of those techniques generates a multilevel segmentation algorithm which can effectively identify the threshold values of a digital image reducing the number of iterations.

Computer Processing of an Image

2021 ◽  
pp. 1-22
Author(s):  
Chandra Prabha R. ◽  
Shilpa Hiremath
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Color Image ◽  
Image Representation ◽  
Computer Processing ◽  
Binary Image ◽  
Grayscale Image ◽  
Under Sampling

In this chapter, the authors have briefed about images, digital images, how the digital images can be processed. Image types like binary image, grayscale image, color image, and indexed image and various image formats are explained. It highlights the various fields where digital image processing can be used. This chapter introduces a variety of concepts related to digital image formation in a human eye. The mechanism of the human visual system is discussed. The authors illustrate the steps of image processing. Explanation on different elements of digital image processing systems like image acquisition, and others are also provided. The components required for capturing and processing the image are discussed. Concepts of image sampling, quantization, image representation are discussed. It portrays the operations of the image during sampling and quantization and the two operations of sampling which is oversampling and under-sampling. Readers can appreciate the key difference between oversampling and under-sampling applied to digital images.

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