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International Conference on Soft Computing for Problem Solving (SocProS)

作者： Sahu, Minati Kumari Dutta, Chandan Ghosh, Arpita Sagar, S. Palit CSIR Natl Met Lab Jamshedpur 831007 Bihar India NDE & MM Grp Jamshedpur Bihar India

ISBN: (纸本)9789811315923;9789811315916

Present paper deals with developing an advanced digital image processing tool for determination of size and number density of precipitates present in creep-exposed P92 steel. The image processing toolbox in MATLAB is usually employed for noise detection and removal, edge detection, cropping, histogram of the region of interest as well as size wise distribution of the desired objects from the micrograph. This tool helps in fast and accurate acquisition of information. In this investigation, creep testing has been carried out on two P92 steel specimens at a temperature of 650 degrees C and stress of 120 MPa till rupture. Scanning electron microscopy (SEM) was used to capture images of the specimen in as-tempered condition and in the near-rupture gage region after creep rupture. The developed software has been used to analyze the micrographs for quantification of precipitates in terms of area fraction, size, and number density. The use of edge detection technique in the developed software helps in avoiding human intervention during image thresholding, thereby increasing accuracy in precipitate sizing. Findings from this investigation have been used to evaluate the role of precipitation morphology for specimen failure due to creep especially in precipitate strengthened steel like P92 steel.

关键词： image processing toolbox Graphical user interface MATLAB P92 steel Precipitates

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MITT: Medical image Tracking toolbox

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IEEE TRANSACTIONS ON MEDICAL IMAGING 2018年第11期37卷 2547-2557页

作者： Queiros, Sandro Morais, Pedro Barbosa, Daniel Fonseca, Jaime C. Vilaca, Joao L. D'hooge, Jan Univ Minho Life & Hlth Sci Res Inst ICVS Sch Med P-4710057 Braga Portugal ICVS 3Bs PT Govt Associate Lab Braga Portugal Univ Minho Sch Engn Algoritmi Ctr Guimaraes Portugal Katholieke Univ Leuven Lab Cardiovasc Imaging & Dynam B-3000 Leuven Belgium Univ Minho Life & Hlth Sci Res Inst P-4710057 Braga Portugal Univ Minho ICVS PT Govt Associate Lab 3Bs P-4710057 Braga Portugal Univ Porto Inst Ciencia & Inovacao Engn Mecan & Engn Ind P-4200465 Porto Portugal 2Ai Polytech Inst Cavado & Ave P-4750810 Barcelos Portugal

Over the years, medical image tracking has gained considerable attention from both medical and research communities due to its widespread utility in a multitude of clinical applications, from functional assessment during diagnosis and therapy planning to structure tracking or image fusion during image-guided interventions. Despite the ever-increasing number of image tracking methods available, most still consist of independent implementations with specific target applications, lacking the versatility to deal with distinct end-goals without the need for methodological tailoring and/or exhaustive tuning of numerous parameters. With this in mind, we have developed the medical image tracking toolbox (MITT)-a software package designed to ease customization of image tracking solutions in the medical field. While its workflow principles make it suitable to work with 2-D or 3-D image sequences, its modules offer versatility to set up computationally efficient tracking solutions, even for users with limited programming skills. MITT is implemented in both C/C++ and MATLAB, including several variants of an object-based image tracking algorithm and allowing to track multiple types of objects (i.e., contours, multi-contours, surfaces, and multi-surfaces) with several customization features. In this paper, the tool-box is presented, its features discussed, and illustrative examples of its usage in the cardiology field provided, demonstrating its versatility, simplicity, and time efficiency.

关键词： Anatomical affine optical flow image processing toolbox medical image tracking toolbox motion estimation

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Detection and Recognition of Myanmar Characters from the Dissimilar images 10

Detection and Recognition of Myanmar Characters from the Dis...

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10th International Conference on Knowledge and Smart Technology (KST) - Cybernetics in the Next Decades

作者： Khin, Ohnmar Phothisonothai, Montri Choomchuay, Somsak KMITL Int Coll Bangkok Thailand KMITL Fac Engn Bangkok Thailand

ISBN: (纸本)9781538640159

The impartial of this paper is to spread the License Plate Recognition for the traffic light development of Myanmar. In this paper, image processing toolbox, controlling and take boxes were proposed to extract the numbers and characters from the input images. Our method consists of three steps. In the first step, the input license plate image is increased by doing some the action or noise modification. Then the features of the characters are extracted to overcome the sameness problems of the Myanmar characters. Finally, neural network is used for the character recognition. The experiments were carried out on the dissimilar Myanmar vehicle images and results showed the efficiency of 93% which was substantially applied for the license plate detection, letters and numbers extraction.

关键词： image processing toolbox Controlling Take boxes

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CAD PLATFORM INDEPENDENT SOFTWARE FOR AUTOMATIC GRADING OF TECHNICAL DRAWINGS

CAD PLATFORM INDEPENDENT SOFTWARE FOR AUTOMATIC GRADING OF T...

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ASME International Design Engineering Technical Conferences / Computers and Information in Engineering Conference (IDETC/CIE 2017)

作者： Ingale, Sanchit Srinivasan, Anirudh Bairaktarova, Diana Virginia Tech Dept Mech Engn Blacksburg VA 24060 USA Virginia Tech Dept Engn Educ Blacksburg VA 24060 USA

ISBN: (纸本)9780791858158

Spatial visualization is the ability of an individual to imagine an object mentally and understand its spatial orientation. There have been multiple works proving that spatial visualization skills can be improved with an appropriate training. Such training warrant a critical place in the undergraduate engineering curricula in many engineering schools as spatial skills are considered vital for students' success in the technical and design fields [1-4] Enhanced spatial skills help not only professionals in the engineering field but also everyone in the 21st century environment. Drawing sectional views requires mental manipulation and visual thinking. To enhance students spatial reasoning, one of the authors of this study, conducted a class in spatial visualization. The course-learning goal aimed at improving first-year engineering students' spatial reasoning through instruction on freehand drawings of sectional view. During the semester, two teaching assistants had to grade more than 500 assignments that consisted of sectional views of mechanical objects. This was a tedious and a time consuming task. Motivated by this experience, this paper proposes a software aiming at automating grading of students' sectional view drawings. The proposed software will also give live feedback to students while they are working on the drawings. This interactive tool aims to 1) improve the learning experience of first year students, with limited CAD knowledge, and 2) introduce a pedagogical tool that can enhance spatial visualization training.

关键词： Spatial Visualization Interactive Software Sectional Views MATLAB Computer Vision toolbox image processing toolbox

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Rectangular Labeling of Objects - A Novice Method for image Quality Enhancement 1

Rectangular Labeling of Objects - A Novice Method for Image ...

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1st International Conference on Next Generation Computing Technologies (NGCT)

作者： Garg, Deepika Satvika Kaushik, Akhil Technol Inst Text & Sci Comp Engn Bhiwani Haryana India Technol Inst Text & Sci IT Dept Bhiwani Haryana India Technol Inst Text & Sci Dept Comp Engn Bhiwani Haryana India

ISBN: (纸本)9781467368094

Ever since the advent of computers, image Enhancement is an area of chief concern which primarily focuses to process the image in such a way that the resultant image is better than the original one. image enhancement is done to get a clear view of image and removes the unnecessary errors if any in the image. This paper proposes a new approach called Rectangular Labeling of Objects for image reinforcement and also compares it with popular image enhancement methods such as Hough transform, trace boundaries, etc. All these operations are done with the help of image processing toolbox through Matlab.

关键词： Boundaries Empty regions Hough transform image processing toolbox Rectangular Labeling of Objects (RLO)

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Rectangular Labeling of Objects - A Novice Method for image Quality Enhancement

Rectangular Labeling of Objects - A Novice Method for Image ...

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International Conference on Next Generation Computing Technologies

作者： Deepika Garg Satvika Akhil Kaushik Comput. Eng. Technol. Inst. of Textile & Sci. Bhiwani India

ISBN: (纸本)9781467368100

关键词： Boundaries Empty regions Hough transform image processing toolbox Rectangular Labeling of Objects (RLO)

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Hand Geometry Based Recognition System

Hand Geometry Based Recognition System

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3rd Nirma-University International Conference on Engineering (NUiCONE)

作者： Chaudhary, Dipti R. Sharma, Ankit Nirma Univ Inst Technol Automat & Control Ahmadabad Gujarat India Nirma Univ Inst Technol Dept Instrumentat & Control Ahmadabad Gujarat India

ISBN: (纸本)9781467317191;9781467317207

Hand geometry is one of the biometrics used to find practical use across the real-world security related applications. A hand geometry based recognition system works by capturing the image of a hand to determine its geometry and metrics namely the finger length, width and other attributes. Hand image segmentation is an important step in any hand geometry based recognition system. Because, the accuracy of the identified feature will be detected using a segmented hand image and it is totally depend upon the quality and accuracy of the segmented hand image.

关键词： Biometrics image processing toolbox matlab

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Using MATLAB software with Tomcat server and Java platform for remote image analysis in pathology

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DIAGNOSTIC PATHOLOGY 2011年第1期6卷 1-7页

作者： Markiewicz, Tomasz Warsaw Univ Technol Inst Theory Elect Engn Measurement & Informat Sys PL-00662 Warsaw Poland Mil Inst Med Dept Pathol PL-04141 Warsaw Poland

Background: The Matlab software is a one of the most advanced development tool for application in engineering practice. From our point of view the most important is the image processing toolbox, offering many built-in functions, including mathematical morphology, and implementation of a many artificial neural networks as AI. It is very popular platform for creation of the specialized program for image analysis, also in pathology. Based on the latest version of Matlab Builder Java toolbox, it is possible to create the software, serving as a remote system for image analysis in pathology via internet communication. The internet platform can be realized based on Java Servlet Pages with Tomcat server as servlet container. Methods: In presented software implementation we propose remote image analysis realized by Matlab algorithms. These algorithms can be compiled to executable jar file with the help of Matlab Builder Java toolbox. The Matlab function must be declared with the set of input data, output structure with numerical results and Matlab web figure. Any function prepared in that manner can be used as a Java function in Java Servlet Pages (JSP). The graphical user interface providing the input data and displaying the results (also in graphical form) must be implemented in JSP. Additionally the data storage to database can be implemented within algorithm written in Matlab with the help of Matlab Database toolbox directly with the image processing. The complete JSP page can be run by Tomcat server. Results: The proposed tool for remote image analysis was tested on the Computerized Analysis of Medical images (CAMI) software developed by author. The user provides image and case information (diagnosis, staining, image parameter etc.). When analysis is initialized, input data with image are sent to servlet on Tomcat. When analysis is done, client obtains the graphical results as an image with marked recognized cells and also the quantitative output. Additionally, the resu

关键词： Remote User User Session image processing toolbox Internet Platform Java Runtime Environment

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Návrh a vypracování úloh z oblasti zpracování obrazu v softwaru Matlab

Návrh a vypracování úloh z oblasti zpracování obrazu v...

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作者： Cupra, Šimon Brno University of Technology

Bakalárska práca sa zaoberá problematikou spracovania obrazu v softvéri MATLAB a návrhom dvoch ukážkových príkladov. Pre porozumenie problematiky sú uvedené zákla... 详细信息

Bakalárska práca sa zaoberá problematikou spracovania obrazu v softvéri MATLAB a návrhom dvoch ukážkových príkladov. Pre porozumenie problematiky sú uvedené základné informácie týkajúce sa obrazu a jeho digitálnej reprezentácie. Na základe dvoch navrhnutých príkladov sú načrtnuté základné princípy používané pri úprave obrazu a ich riešenia uvádzajú možnosti využitia softvéru MATLAB a jeho nadstavby pre oblasť spracovania obrazu.

关键词： spracovanie obrazu digitálny obraz MATLAB image processing toolbox image processing digital image MATLAB image processing toolbox Text

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Získávání dat z kamer

Získávání dat z kamer

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作者： Tylš, Ladislav Brno University of Technology

Tato práce se zabývá možnostmi vytvoření vhodného prostředí k ovládání a nastavení kamer. V první části jsou popsány základní možnosti připoje... 详细信息

Tato práce se zabývá možnostmi vytvoření vhodného prostředí k ovládání a nastavení kamer. V první části jsou popsány základní možnosti připojení kamer a vysvětleny jednotlivé parametry kamer. V druhé části je ukázáno, jak je možno vytvořit aplikaci, kde bude možno spustit více kamer současně, a které umožní jednoduché nastavení parametrů v programu MATLAB a programu C++BUILDER s využitím knihoven OpenCV.

关键词： Parametry kamer formát obrazu počet snímků za sekundu expozice kontrast clona ostrost zoom jas gamma saturace barevný tón vyvážení bílé barvy kompenzace světla na pozadí MATLAB GUIDE image processing toolbox image acquisition toolbox. C++B

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