scholarly journals Ekstraksi Citra Digital Tulisan Mandarin Ke Dalam Terjemahan Tulisan Latin Bahasa Indonesia Dengan Stroke Extraction Dan Template Matching

2018 ◽  
Vol 4 (3) ◽  
pp. 138-148
Author(s):  
Robert Robert ◽  
Ananda Ananda ◽  
Ibnu Surya
Keyword(s):  
Image Processing ◽  
Receiver Operating Characteristic ◽  
Digital Image Processing ◽  
Digital Image ◽  
Template Matching ◽  
Operating Characteristic ◽  
Stroke Extraction ◽  
Bahasa Indonesia ◽  
Receiver Operating

Bahasa adalah sistem simbolik dari suara acak, yang digunakan oleh orang untuk berkomunikasi. Mandarin berada di peringkat pertama bahasa yang paling banyak digunakan menurut survei Nationalencyklopedin, dan Mandarin menggunakan huruf yang disebut Hanzi. Manusia memiliki berbagai cara berkomunikasi, salah satunya dengan menulis. Perangkat lunak ini dapat mengenali tulisan melalui gambar dengan menerapkan Pemrosesan Gambar Digital. Penelitian ini bertujuan untuk membangun aplikasi yang dapat mendeteksi Hanzi Mandarin dengan menerapkan Digital Image Processing. Digital Image Processing mengacu pada pemrosesan gambar dua dimensi menggunakan komputer. Metode pemrosesan gambar dengan Stroke Extraction dan Template Mathcing diterapkan solusi untuk masalah ini. Stroke Extraction digunakan untuk melakukan ekstraksi stroke dasar (pi hua) pada gambar Mandarin Hanzi dan kemudian mengenalinya menggunakan Template Mathcing. Aplikasi diuji dengan Receiver Operating Characteristic sehingga kurva yang dapat membantu proses analisis dapat ditarik. Berdasarkan hasil kurva ROC yang dijelaskan, metode Stroke Extraction masih membutuhkan pengembangan karena tingkat keberhasilan yang rendah dalam menghitung sejumlah stroke. Aplikasi yang dibangun berhasil mengekstraksi Mandarin Hanzi baik tulisan tangan dan dicetak dan diterjemahkan ke dalam bahasa Indonesia dengan akurasi 76,47%. Dapat disimpulkan bahwa metode Stroke Extraction dan Template Matching cukup efisien dalam mengolah gambar digital Mandarin Hanzi untuk diterjemahkan ke dalam bahasa Indonesia.

scholarly journals Ekstraksi Citra Digital Tulisan Mandarin Ke Dalam Terjemahan Tulisan Latin Bahasa Indonesia Dengan Stroke Extraction Dan Template Matching

2018 ◽  
Vol 4 (3) ◽  
pp. 138-148
Author(s):  
Robert Robert ◽  
Ananda Ananda ◽  
Ibnu Surya
Keyword(s):  
Receiver Operating Characteristic ◽  
Template Matching ◽  
Operating Characteristic ◽  
Stroke Extraction ◽  
Bahasa Indonesia ◽  
Receiver Operating

Bahasa merupakan sistem lambang bunyi arbitrer, yang digunakan oleh masyarakat untuk berkomunikasi. Bahasa Mandarin menduduki peringkat pertama bahasa yang paling banyak digunakan menurut survei dari Nationalencyklopedin, dan bahasa Mandarin menggunakan huruf yang disebut dengan Hanzi. Manusia memiliki berbagai cara dalam berkomunikasi, salah satunya dengan tulisan. Perangkat lunak dapat mengenali tulisan melalui gambar dengan menerapkan Pengolahan Citra Digital. Penelitian ini bertujuan untuk membangun aplikasi yang dapat mendeteksi Hanzi Mandarin dengan menerapkan Pengolahan Citra Digital. Pengolahan Citra Digital merujuk pada pemrosesan gambar dua dimensi dengan menggunakan komputer. Metode Pengolahan Citra dengan Stroke Extraction dan Template Matching diimplementasikan sebagai solusi masalah. Stroke Extraction digunakan untuk melakukan ekstraksi goresan dasar (pi hua) pada citra Hanzi Mandarin dan kemudian dikenali dengan menggunakan Template Matching. Aplikasi diuji dengan Receiver Operating Characteristic sehingga didapat digambarkan sebuah kurva yang dapat membantu proses analisis. Berdasarkan kurva ROC yang tergambarkan metode Stroke Extraction masih perlu pengembangan karena rendahnya tingkat keberhasilan dalam menghitung goresan. Aplikasi yang dibangun berhasil melakukan ekstraksi Hanzi Mandarin tulisan tangan maupun cetak, dan diterjemahkan ke bahasa Indonesia dengan tingkat akurasi 76,47%. Disimpulkan bahwa metode Stroke Extraction dan Template Matching cukup efisien dalam memproses citra digital Hanzi Mandarin untuk diterjemahkan ke tulisan bahasa Indonesia.

Measurement Technology Research on Target and Projectiles’ Miss Distance Based on Digital Image Processing

2011 ◽  
Vol 383-390 ◽  
pp. 4987-4993
Author(s):  
Zhi Qiang Ma ◽  
Shi Yu Sun ◽  
Yuan Zeng Cheng ◽  
Chun Ping Wang
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Digital Image ◽  
Template Matching ◽  
Distance Measurement ◽  
Processing Technology ◽  
Measurement Technology ◽  
Image Processing Technology ◽  
Miss Distance

At the closed-loop calibration research of anti-aircraft weapons systems, the miss distance between target and projectiles is difficult to obtain accurately. In order to solve this problem, this paper provided using the digital image processing technology to research the miss distance measurement methods, focusing on the image filtering technology, edge detection technology and target recognition technology. According to the simulation results, the paper selected the adaptive median filtering to remove image noise, adopted the edge detection method based on the iterative threshold to obtain target edge and used template matching technology to identify the target in the image. Finally, according to the principle of image measurement technique, using centroid tracking measurement technology to achieve the miss distance measurement. The application of digital image processing technology makes the miss distance measurement become simple, effective and convenient. This measurement method enables to save money, improve accuracy, get results in real time and have a high research value.

Application of Digital Image Processing and Recognition Technology on Screen Printing

2012 ◽  
Vol 429 ◽  
pp. 116-120 ◽  
Author(s):  
De Yu Chen ◽  
Yue Qin Hang ◽  
Xiao Cheng Su ◽  
Xue Fang Zhu
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Template Matching ◽  
Screen Printing ◽  
Economic Benefits ◽  
Print Quality ◽  
Application System ◽  
Infiltration Excess

The digital image processing and recognition technology is applied to the detection of the print quality of screen printing, which is designed to implement the application system of some functions in screen printing, such as the acquisition of multiple printing images, the feature extraction and the matching to the quality control processing. In the RG Chromaticity space, the template matching method is used to design the relevant algorithms and realize fast real-time detection of some problems related to the image dislocation, leakage India, infiltration excess and uneven quality color. Having been tested and run, the method appears good quality monitoring results and economic benefits.

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.

Complementary Z-Contrast Imaging and Digital Image Processing

1985 ◽  
Vol 43 ◽  
pp. 304-305
Author(s):  
K. N. Colonna ◽  
G. Oliphant
Keyword(s):  
Image Processing ◽  
Heavy Metal ◽  
Digital Image Processing ◽  
Digital Image ◽  
Biological Tissue ◽  
Biological Imaging ◽  
Tissue Preparation ◽  
Contrast Imaging ◽  
Imaging Tool ◽  
Z Contrast

Harmonious use of Z-contrast imaging and digital image processing as an analytical imaging tool was developed and demonstrated in studying the elemental constitution of human and maturing rabbit spermatozoa. Due to its analog origin (Fig. 1), the Z-contrast image offers information unique to the science of biological imaging. Despite the information and distinct advantages it offers, the potential of Z-contrast imaging is extremely limited without the application of techniques of digital image processing. For the first time in biological imaging, this study demonstrates the tremendous potential involved in the complementary use of Z-contrast imaging and digital image processing.Imaging in the Z-contrast mode is powerful for three distinct reasons, the first of which involves tissue preparation. It affords biologists the opportunity to visualize biological tissue without the use of heavy metal fixatives and stains. For years biologists have used heavy metal components to compensate for the limited electron scattering properties of biological tissue.

Übereinstimmung von klinischer Diagnose, strukturierten Interviews und Selbstbeurteilungsfragebögen bei Depression im Kindes- und Jugendalter

2012 ◽  
Vol 40 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Kathrin Dolle ◽  
Gerd Schulte-Körne ◽  
Nikolaus von Hofacker ◽  
Yonca Izat ◽  
Antje-Kathrin Allgaier
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Kinder Und Jugendliche ◽  
Prädiktive Werte ◽  
Receiver Operating

Fragestellung: Die vorliegende Studie untersucht die Übereinstimmung von strukturierten Kind- und Elterninterviews sowie dem klinischen Urteil bei der Diagnostik depressiver Episoden im Kindes- und Jugendalter. Zudem prüft sie, ob sich die Treffsicherheit und die optimalen Cut-off-Werte von Selbstbeurteilungsfragebögen in Referenz zu diesen verschiedenen Beurteilerperspektiven unterscheiden. Methodik: Mit 81 Kindern (9–12 Jahre) und 88 Jugendlichen (13–16 Jahre), die sich in kinder- und jugendpsychiatrischen Kliniken oder Praxen vorstellten, und ihren Eltern wurden strukturierte Kinder-DIPS-Interviews durchgeführt. Die Kinder füllten das Depressions-Inventar für Kinder und Jugendliche (DIKJ) aus, die Jugendlichen die Allgemeine Depressions-Skala in der Kurzform (ADS-K). Übereinstimmungen wurden mittels Kappa-Koeffizienten ermittelt. Optimale Cut-off-Werte, Sensitivität, Spezifität sowie positive und negative prädiktive Werte wurden anhand von Receiver operating characteristic (ROC) Kurven bestimmt. Ergebnisse: Die Interviews stimmten untereinander sowie mit dem klinischen Urteil niedrig bis mäßig überein. Depressive Episoden wurden häufiger nach klinischem Urteil als in den Interviews festgestellt. Cut-off-Werte und Validitätsmaße der Selbstbeurteilungsfragebögen variierten je nach Referenzstandard mit den schlechtesten Ergebnissen für das klinische Urteil. Schlussfolgerungen: Klinische Beurteiler könnten durch den Einsatz von strukturierten Interviews profitieren. Strategien für den Umgang mit diskrepanten Kind- und Elternangaben sollten empirisch geprüft und detailliert beschrieben werden.

Sign in / Sign up

Export Citation Format

Share Document