Texture Analysis with MTEX – Free and Open Source Software Toolbox

2010 ◽  
Vol 160 ◽  
pp. 63-68 ◽  
Author(s):  
F. Bachmann ◽  
Ralf Hielscher ◽  
Helmut Schaeben
Keyword(s):  
Open Source ◽  
Texture Analysis ◽  
Pole Figure ◽  
Open Source Software ◽  
Multiple Use ◽  
Crystallographic Preferred Orientation ◽  
Ebsd Data ◽  
Orientation Density ◽  
Pole Figure Data ◽  
Software Toolbox

The MATLAB™ toolbox MTEX provides a unique way to represent, analyse and interpret crystallographic preferred orientation, i.e. texture, based on integral (“pole figure”) or individual orientation (“EBSD”) measurements. In particular, MTEX comprises functions to import, analyse and visualize diffraction pole figure data as well as EBSD data, to estimate an orientation density function from either kind of data, to compute texture characteristics, to model orientation density functions in terms of model functions or Fourier coefficients, to simulate pole figure or EBSD data, to create publication ready plots, to write scripts for multiple use, and others. Thus MTEX is a versatile free and open-source software toolbox for texture analysis and modeling.

scholarly journals Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Hua Dean Fang ◽  
Chien-Yu Lin ◽  
Meng-Jung Shih ◽  
Hung-Ming Wang ◽  
Tsung-Ying Ho ◽  
...  
Keyword(s):  
Open Source ◽  
Texture Analysis ◽  
Open Source Software ◽  
Software Package ◽  
Tumor Heterogeneity ◽  
Locally Advanced ◽  
Image Texture ◽  
Pixel Intensity ◽  
Open Source Software Package ◽  
Molecular Images

Background. The quantification of tumor heterogeneity with molecular images, by analyzing the local or global variation in the spatial arrangements of pixel intensity with texture analysis, possesses a great clinical potential for treatment planning and prognosis. To address the lack of available software for computing the tumor heterogeneity on the public domain, we develop a software package, namely, Chang-Gung Image Texture Analysis (CGITA) toolbox, and provide it to the research community as a free, open-source project.Methods. With a user-friendly graphical interface, CGITA provides users with an easy way to compute more than seventy heterogeneity indices. To test and demonstrate the usefulness of CGITA, we used a small cohort of eighteen locally advanced oral cavity (ORC) cancer patients treated with definitive radiotherapies.Results. In our case study of ORC data, we found that more than ten of the current implemented heterogeneity indices outperformed SUVmeanfor outcome prediction in the ROC analysis with a higher area under curve (AUC). Heterogeneity indices provide a better area under the curve up to 0.9 than the SUVmeanand TLG (0.6 and 0.52, resp.).Conclusions. CGITA is a free and open-source software package to quantify tumor heterogeneity from molecular images. CGITA is available for free for academic use athttp://code.google.com/p/cgita.

scholarly journals The Resolution of Orientation Space With Reference to Pole-Figure Resolution

1982 ◽  
Vol 4 (4) ◽  
pp. 189-200 ◽  
Author(s):  
János Imhof
Keyword(s):  
Distribution Function ◽  
Data Structure ◽  
Texture Analysis ◽  
Pole Figure ◽  
Orientation Distribution Function ◽  
Fundamental Equation ◽  
Orientation Distribution ◽  
Probabilistic Interpretation ◽  
Orientation Space ◽  
Pole Figure Data

The orientation distribution function depends on the measured pole-figure data structure. With reference to the divisions of the pole-figure the orientation space is divided into classes, such that contain orientations indistinguishable on the basis of pole-figure data. These classes should refer to distinguishable values of the orientation distribution function. Divisions of orientation space are considered in formulating the fundamental equation of texture analysis. Probabilistic interpretation of the fundamental equation is formulated.

scholarly journals Rigbox: an Open-Source Toolbox for Probing Neurons and Behavior

2019 ◽  
Author(s):  
Jai Bhagat ◽  
Miles J. Wells ◽  
Andrew Peters ◽  
Kenneth D Harris ◽  
Matteo Carandini ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Data Streams ◽  
High Performance ◽  
Ad Hoc ◽  
Modular Approach ◽  
Multiple Sources ◽  
Complex Process ◽  
And Behavior ◽  
Software Toolbox

Setting up an experiment in behavioral neuroscience is a complex process that is often managed with ad hoc solutions. To streamline this process we developed Rigbox, a high-performance, open-source software toolbox that facilitates a modular approach to designing experiments (github.com/cortex-lab/Rigbox). Rigbox simplifies hardware I/O, synchronizes data streams from multiple sources, communicates with remote databases, and implements visual and auditory stimuli presentation. Its main submodule, Signals, allows intuitive programming of behavioral tasks. Here we illustrate its function with two interactive examples: a human psychophysics experiment, and the game of Pong. We give an overview of the other packages in Rigbox, provide benchmarks, and conclude with a discussion on the extensibility of the software and comparisons with similar toolboxes. Rigbox runs in MATLAB, with Java components to handle network communication, and a C library to boost performance.

An Algorithm for Gradual Patch Acceptance Detection in Open Source Software Repository Mining

2012 ◽  
Vol E95.A (9) ◽  
pp. 1478-1489
Author(s):  
Passakorn PHANNACHITTA ◽  
Akinori IHARA ◽  
Pijak JIRAPIWONG ◽  
Masao OHIRA ◽  
Ken-ichi MATSUMOTO
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Repository ◽  
Repository Mining ◽  
Software Repository Mining

Hacking Diversity

2019 ◽  
Author(s):  
Christina Dunbar-Hester
Keyword(s):  
Open Source ◽  
Human Resource ◽  
Open Source Software ◽  
Cultural Production ◽  
Equal Opportunity ◽  
Economic Power ◽  
Underrepresented Groups ◽  
Technical Production ◽  
Preferred Solutions

Hacking, as a mode of technical and cultural production, is commonly celebrated for its extraordinary freedoms of creation and circulation. Yet surprisingly few women participate in it: rates of involvement by technologically skilled women are drastically lower in hacking communities than in industry and academia. This book investigates the activists engaged in free and open-source software to understand why, despite their efforts, they fail to achieve the diversity that their ideals support. The book shows that within this well-meaning volunteer world, beyond the sway of human resource departments and equal opportunity legislation, members of underrepresented groups face unique challenges. The book explores who participates in voluntaristic technology cultures, to what ends, and with what consequences. Digging deep into the fundamental assumptions underpinning STEM-oriented societies, the book demonstrates that while the preferred solutions of tech enthusiasts—their “hacks” of projects and cultures—can ameliorate some of the “bugs” within their own communities, these methods come up short for issues of unequal social and economic power. Distributing “diversity” in technical production is not equal to generating justice. The book reframes questions of diversity advocacy to consider what interventions might appropriately broaden inclusion and participation in the hacking world and beyond.

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