scholarly journals LABELING OF N-DIMENSIONAL IMAGES WITH CHOOSABLE ADJACENCY OF THE PIXELS

2011 ◽  
Vol 27 (1) ◽  
pp. 45 ◽  
Author(s):  
Kai Sandfort ◽  
Joachim Ohser
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Euler Number ◽  
Image Data ◽  
3D Images ◽  
Convergence Results ◽  
Labeling Algorithm ◽  
Uniform Manner ◽  
2D And 3D ◽  
Discretized Image

The labeling of discretized image data is one of the most essential operations in digital image processing. The notions of an adjacency system of pixels and the complementarity of two such systems are crucial to guarantee consistency of any labeling routine. In to date's publications, this complementarity usually is defined using discrete versions of the Jordan-Veblen curve theorem and the Jordan-Brouwer surface theorem for 2D and 3D images, respectively. In contrast, we follow here an alternative concept, which relies on a consistency relation for the Euler number. This relation and all necessary definitions are easily stated in a uniform manner for the n-dimensional case. For this, we present identification and convergence results for complementary adjacency systems, supplemented by examples for the 3D case. Next, we develop a pseudo-code for a general labeling algorithm. The application of such an algorithm should be assessed with regard to our preceding considerations. A benchmark and a thorough discussion finish our article.

scholarly journals Review on techniques and file formats of image compression

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Alaa Jabbar Qasim ◽  
Roshidi Din ◽  
Farah Qasim Ahmed Alyousuf
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Data ◽  
Critical Issue ◽  
Redundant Information ◽  
Compression Technique ◽  
File Formats ◽  
Traditional Format

This paper presents a review of the compression technique in digital image processing. As well as a brief description of the main technologies and traditional format that commonly used in image compression. It can be defined as image compression a set of techniques that are applied to the images to store or transfer them in an effective way. In addition, this paper presents formats that use to reduce redundant information in an image, unnecessary pixels and non-visual redundancy. The conclusion of this paper The results for this paper concludes that image compression is a critical issue in digital image processing because it allows us to store or transmit image data efficiently.

scholarly journals Avicennia marina Leaf Morphometric Digital Data Visualization In Tongkaina And Bintauna Coastal Areas

2017 ◽  
Vol 6 (1) ◽  
pp. 42
Author(s):  
Rianto Robot ◽  
Joudy R. R. Sangari ◽  
Boyke H. Toloh
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Leaf Shape ◽  
Image Data ◽  
Avicennia Marina ◽  
T Test ◽  
Fourier Descriptors ◽  
Morphometric Characters ◽  
Landmark Data

The development of biology has been a major step in explaining variations in form. Information on the morphometric characteristics of A. marina leaves can be collected, managed, calculated and displayed visually using the current emerging technologies. The emerging technology is image processing software. In this study, the leaf identification was performed automatically on digital image data to measure variations and make morphometrics leaf digitalization using the software. Measurement and visualization on the morphometric s of the shape based on digital image data is still rare. To know the comparison of morphometric characters of leaf based on location difference, the research was done by comparing morphometric of A. marina leaves in Bintauna and Tongkaina using digital image processing technology and object analysis. A. marina leaf samples were collected and imaged with the camera. Furthermore, the image is processed with ImageJ to obtain the results of morphometric character and leaf landmark data. The results of the length ratio and width of the leaf were tested by t test, while the landmark data was visualized with PAST software. Image data also analyzed and visualized using elliptic Fourier descriptors (EFDs) method, plus visualization of the size and overall shape of leaf contours using Photoshop. The results showed that the size of A. marina leaves in Tongkaina are greater than that of Bintauna. A. marina leaves at Tongkaina have a length of 65,36 mm, width 36,02 mm, wide by 169,24 mm2 and circle 178,78 mm, While in Bintauna have a length of 63,76 mm, width 31,82 mm, width 149.63 mm2 and circle 166.50 mm. Visualization applied directly on A. marina leaf shape using the technique of point of coordinates of leaf (landmark) and leaf edge contour detection technique using Photoshop, the result of a whole analysis indicates that A. marina leaves in Tongkaina have symmetrical mean (morphometric) which is slightly different than those in Bintauna. Based on the result of EFDs method calculation and statistical t test, the result shows that leaf size of both populations of A. marina in Tongkaina and Bintauna has no difference.Keywords: Digital Imagery, Visualization, Morphometrics, Avicennia marina, Bintauna, TongkainaABSTRAKPerkembangan biologi telah menjadi langkah besar dalam menjelaskan variasi bentuk. Informasi mengenai data karakteristik morfometrik daun A. marina dapat dikumpulkan, dikelola dan dihitung serta ditampilkan secara visual menggunakan teknologi yang berkembang saat ini. Teknologi yang sedang berkembang adalah perangkat lunak pengolah gambar. Identifikasi daun dapat dilakukan secara otomatis pada data citra digital untuk mengukur variasi dan membuat digitalisasi morfometrik daun menggunakan perangkat lunak.Pengukuran dan penggambaran (visualisasi) mengenai bentuk morfometrik berdasarkan data citra digital masih belum banyak dilakukan. Untuk mengetahui perbandingan karakteristik morfometrik daun berdasarkan perbedaan lokasi, dilakukan penelitian dengan membandingkan morfometrik daun A. marina yang ada di Bintauna dan Tongkaina menggunakan teknologi digital image processing dan analisis objek untuk melakukan visualisasi data. Sampel daun A. marina dikumpulkan dan dicitrakan dengan kamera. Selanjutnya citra diproses dengan ImageJ untuk mendapatkan hasil pengukuran karakter morfometrik dan data landmark daun. Hasil pengukuran rasio panjang dan lebar daun diuji dengan uji t, sedangkan data landmark divisualisasi dengan perangkat lunak PAST. Data citra juga dianalisis dan divisualisasi dengan metode elliptical fourier descriptors (EFDs), ditambah dengan visualisasi ukuran dan bentuk keseluruhan dari kontur daun menggunakan Photoshop. Hasil penelitian menunjukan bahwa ukuran daun A. marina yang ada di Tongkaina lebih besar dibandingkan dengan yang ada di Bintauna. Daun A. marina di Tongkaina memiliki ukuran panjang 65,36 mm, lebar 36,02 mm, luas 169,24 mm2 dan lingkaran 178,78 mm, Sedangkan di Bintauna memiliki ukuran panjang 63,76 mm, lebar 31,82 mm, luas 149,63 mm2 dan lingkaran 166,50 mm. Visualisasi secara langsung dari bentuk daun A. marina dengan teknik menggunakan titik koordinat daun (landmark) serta menggunakan teknik pendeteksian tepi bentuk kontur daun menggunakan Photoshop, hasil analisis keseluruhan menunjukan bahwa daun A. marina yang ada di Tongkaina memiliki bentuk rata-rata kesimetrisan (morfometrik) yang sedikit berbeda dibandingkan dengan yang berada di Bintauna. Berdasarkan hasil uji statistik dengan metode (EFDs) kemudian dilanjutkan dengan uji t, menunjukan hasil bahwa ukuran daun kedua populasi A. marina yang di Tongkaina dan Bintauna adalah tidak berbeda.Kata kunci : Citra digital, Visualisasi, Morfometrik, Avicennia marina, Bintauna, Tongkaina 

Advancing Microsoft Excel’s Potential for Teaching Digital Image Processing and Analysis

2018 ◽  
Vol 34 (2) ◽  
pp. 263-276 ◽  
Author(s):  
Peter Ako Larbi
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Data ◽  
Large Data ◽  
New Method ◽  
Good Opportunity ◽  
Image Processing And Analysis ◽  
Wide Range ◽  
Rgb Image

Abstract. Microsoft Excel is not considered a typical software for digital image processing and analysis. However, based on its large data handling and graphing capabilities, as well as its widespread usage, it presents a good opportunity for use as a tool for teaching image data processing or use in demonstrations requiring little training. It also lends itself well as a potentially useful research tool that can benefit a wide range of users including those with little or no computer programming knowledge. This article demonstrates a new method which can be adopted for teaching concepts of image processing and analysis, consisting of systematic procedures for implementing typical operations in Excel. Categories of operations demonstrated using this method include image preprocessing, image enhancement, image classification, analysis of change over time, and image data fusion. Examples of outputs resulting from using this new method are discussed in the article. The success of this proposed method is hinged on the availability of the required image data, based on which a simple graphical user interface (GUI) application was developed in MATLAB. That application, RGBExcel or the later RGB2X, extracts RGB image data from image files of any format and file size, and exports to Excel for processing. Deployed as standalone applications, both versions can be installed on a 64-bit windows computer and run without MATLAB. Keywords: Color images, Multispectral imagery, Remote sensing, RGB image data, RGB2X, RGBExcel.

Research of the Terminal Timer System Based on High-Speed Color Linear CCD

2013 ◽  
Vol 278-280 ◽  
pp. 1251-1254
Author(s):  
Feng Xu ◽  
Zhi Yu Liu
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Speed ◽  
Color Image ◽  
Image Data ◽  
Sporting Events ◽  
Linear Ccd ◽  
Depth Analysis ◽  
Timing System

In competitive sporting events, the scores confirm replied on manual timing can’t satisfy the requirements, according to the provisions of the IAAF, the major sports event will require the use of electric timing system. At present, the development level of the photo finish collecting still stay in the black-and-white image level, high-speed color linear CCD array technology used in track events final electrical-timing system, carried out in-depth analysis of the various factors that affect image quality of the post-processing, described in digital image processing with gray technology , color balance, histogram equalization and digital image processing techniques so as to get clear, high quality color image data.

scholarly journals Implementation of Sobel Method Based Edge Detection for Flower Image Segmentation

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 161
Author(s):  
Asmaidi Asmaidi ◽  
Darma Setiawan Putra ◽  
Muharratul Mina Risky ◽  
Fitria Ulfa R
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Programming Language ◽  
Image Data ◽  
Input Image ◽  
Interactive System ◽  
Boundary Line ◽  
Pixel Value

Edge detection is the first step to cover information in the image. The edges characterize the boundaries of objects and therefore edges are useful for the process of segmentation and identification in the image. The purpose of edge detection is to increase the appearance of the boundary line of the object in the image. The sobel method is a method that uses two kernels measuring 3x3 pixels for gradient calculations so that the estimate gradient is right in the middle of the window. Digital image processing aims to manipulate image data and analyze an image with the help of a computer. Matlab is made to facilitate the use of two collections of subroutines in the fortran library, linpack and eispack, in handling matrix computing, and develops into an interactive system as a programming language. Experimental results from the input image research, namely the flower image have different MSE values because each input image has a different pixel value

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

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.

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