Image acquisition, evaluation and segmentation of thermal cutting edges using a mobile device

AbstrakProsedur penggunaan aplikasi text to speech pada perangkat mobile yang ada umumnya saat ini yakni pengguna aplikasi ini harus menginput manual kata yang akan diaktualisasikan dengan suara. Pada penelitian ini, dirancang sebuah sistem input kata pada aplikasi text to speech dengan memanfaatkan pengolahan citra digital. Pengguna cukup mengambil gambar (capture) kata yang akan disuarakan tersebut tanpa harus mengetik manual pada area teks input. Metode yang digunakan dalam sistem ini meliputi akuisisi citra, pra pengolahan citra, segmentasi karakter, pengenalan karakter, dan integrasi dengan engine text to speech pada perangkat Android. Akuisisi citra dilakukan menggunakan kamera pada perangkat mobile untuk mengambil gambar kata yang akan diinputkan. Pengenalan karakter menggunakan jaringan saraf tiruan (JST) algoritma perambatan balik (back propagation). Sistem pengolahan citra yang berhasil dibuat kemudian dihubungkan dengan engine Google Text to Speech. Sistem pengenalan karakter pada penelitian ini menggunakan model jaringan syaraf tiruan (JST) dengan akurasi 97,58%. Sistem ini mampu mengenali beberapa tipe font yakni Arial, Calibri, dan Verdana. Rerata akurasi pengenalan pada sampel uji yang digunakan di dalam penelitian ini sebesar 94,7% dengan kondisi jarak pengambilan gambar pada rentang jarak 3 – 8 cm dan posisi kamera tegak lurus menghadap kertas tulisan. Kata kunci— Android, OCR, Back Propagation, OpenCV, Text to Speech Abstract Procedures using text to speech application on a mobile device generally at this time is user must manually enter the word to be actualized in speech. In this study, designed a words input system for text to speech application using digital image processing. This system makes users simply to do the words capturing that will be voiced without manually typing in the text area input.The method used in this system includes image acquisition, image pre-processing, character segmentation, character recognition, and integration with text to speech engine on mobile devices. Image acquisition was performed using the camera on a mobile device to capture the word to be entered. Character recognition using back propagation algorithm. Image processing system successfully created and then integrated with Google Text to Speech engine.Character recognition system in this study using a model of neural networks (ANN) with an accuracy of 97.58%. The system is able to recognize some types of font that is Arial, Calibri, and Verdana. The mean recognition accuracy on the test sample used in this study 94.7% with distance shooting conditions within the range 3-8 cm and the camera upright position facing the letter. Keywords— Android, OCR, Back Propagation, OpenCV, Text to Speech

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Three-dimensional image acquisition and reconstruction system on a mobile device based on computer-generated integral imaging

Applied Optics ◽

10.1364/ao.56.007796 ◽

2017 ◽

Vol 56 (28) ◽

pp. 7796 ◽

Cited By ~ 7

Author(s):

Munkh-Uchral Erdenebat ◽

Byeong-Jun Kim ◽

Yan-Ling Piao ◽

Seo-Yeon Park ◽

Ki-Chul Kwon ◽

...

Keyword(s):

Mobile Device ◽

Image Acquisition ◽

Three Dimensional ◽

Integral Imaging ◽

Dimensional Image

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Scanning x-ray fluorescence microscopy and principal component analysis

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100133394 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1752-1753

Author(s):

Brian Cross

Keyword(s):

Principal Component Analysis ◽

Fluorescence Microscopy ◽

Spatial Resolution ◽

High Speed ◽

Image Acquisition ◽

Principal Component ◽

Fluorescence Microscope ◽

Acquisition Rate ◽

X Ray ◽

Speed Up

A relatively new entry, in the field of microscopy, is the Scanning X-Ray Fluorescence Microscope (SXRFM). Using this type of instrument (e.g. Kevex Omicron X-ray Microprobe), one can obtain multiple elemental x-ray images, from the analysis of materials which show heterogeneity. The SXRFM obtains images by collimating an x-ray beam (e.g. 100 μm diameter), and then scanning the sample with a high-speed x-y stage. To speed up the image acquisition, data is acquired "on-the-fly" by slew-scanning the stage along the x-axis, like a TV or SEM scan. To reduce the overhead from "fly-back," the images can be acquired by bi-directional scanning of the x-axis. This results in very little overhead with the re-positioning of the sample stage. The image acquisition rate is dominated by the x-ray acquisition rate. Therefore, the total x-ray image acquisition rate, using the SXRFM, is very comparable to an SEM. Although the x-ray spatial resolution of the SXRFM is worse than an SEM (say 100 vs. 2 μm), there are several other advantages.

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The IBM-PC in electron microscopy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100165525 ◽

1996 ◽

Vol 54 ◽

pp. 612-613

Author(s):

James F. Mancuso

Keyword(s):

Head Start ◽

Image Acquisition ◽

Cost Effective ◽

Financial Applications ◽

Number Of Factors ◽

Instrument Control ◽

The Cost ◽

Training And Support ◽

Control Image ◽

Ibm Pc

IBM PC compatible computers are widely used in microscopy for applications ranging from control to image acquisition and analysis. The choice of IBM-PC based systems over competing computer platforms can be based on technical merit alone or on a number of factors relating to economics, availability of peripherals, management dictum, or simple personal preference.IBM-PC got a strong “head start” by first dominating clerical, document processing and financial applications. The use of these computers spilled into the laboratory where the DOS based IBM-PC replaced mini-computers. Compared to minicomputer, the PC provided a more for cost-effective platform for applications in numerical analysis, engineering and design, instrument control, image acquisition and image processing. In addition, the sitewide use of a common PC platform could reduce the cost of training and support services relative to cases where many different computer platforms were used. This could be especially true for the microscopists who must use computers in both the laboratory and the office.

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Digital image acquisition, processing, and analysis in a polymer microscopy laboratory

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100170001 ◽

1994 ◽

Vol 52 ◽

pp. 454-455

Author(s):

Vinod K. Berry ◽

Xiao Zhang

Keyword(s):

United States ◽

Image Analysis ◽

Digital Image ◽

Image Acquisition ◽

Image Transmission ◽

The United States ◽

Quantitative Image Analysis ◽

Quantitative Image

In recent years it became apparent that we needed to improve productivity and efficiency in the Microscopy Laboratories in GE Plastics. It was realized that digital image acquisition, archiving, processing, analysis, and transmission over a network would be the best way to achieve this goal. Also, the capabilities of quantitative image analysis, image transmission etc. available with this approach would help us to increase our efficiency. Although the advantages of digital image acquisition, processing, archiving, etc. have been described and are being practiced in many SEM, laboratories, they have not been generally applied in microscopy laboratories (TEM, Optical, SEM and others) and impact on increased productivity has not been yet exploited as well.In order to attain our objective we have acquired a SEMICAPS imaging workstation for each of the GE Plastic sites in the United States. We have integrated the workstation with the microscopes and their peripherals as shown in Figure 1.

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A basic introduction to image processing using NIH-Image as a model

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100169699 ◽

1994 ◽

Vol 52 ◽

pp. 392-393

Author(s):

John Mansfield

Keyword(s):

Image Processing ◽

Digital Image ◽

Image Acquisition ◽

Digital Instrument ◽

Novice User ◽

Nih Image ◽

The Past ◽

Digital World ◽

The World ◽

Instrument Control

Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.

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