scikit-image.org

scikit-image: Image processing in Python — scikit-image

Image processing in Python. Is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. Filtering an image with. For more examples, please visit our gallery. Or any NumPy array! If you find this project useful, please cite:. PeerJ 2:e453 (2014) http:/ dx.doi.org/10.7717/peerj.453. Version 0.11.0 04/03/2015. Version 0.10.0 27/05/2014. Belgium, August 2012.

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Image processing in Python. Is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. Filtering an image with. For more examples, please visit our gallery. Or any NumPy array! If you find this project useful, please cite:. PeerJ 2:e453 (2014) http:/ dx.doi.org/10.7717/peerj.453. Version 0.11.0 04/03/2015. Version 0.10.0 27/05/2014. Belgium, August 2012.

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scikit-image: Image processing in Python — scikit-image | scikit-image.org Reviews

https://scikit-image.org

Image processing in Python. Is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. Filtering an image with. For more examples, please visit our gallery. Or any NumPy array! If you find this project useful, please cite:. PeerJ 2:e453 (2014) http:/ dx.doi.org/10.7717/peerj.453. Version 0.11.0 04/03/2015. Version 0.10.0 27/05/2014. Belgium, August 2012.

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scikit-image.org

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Download — scikit-image

http://scikit-image.org/download.html

Are kindly provided by Christoph Gohlke. The latest stable release is also included as part of the Enthought Python Distribution (EPD). Scikit-image can be installed from the Python packaging index. Please refer to the latest build instructions. To build the development version of the scikit, you need a C/C compiler, Python, NumPy and Cython.

2

General examples — skimage v0.13dev docs

http://scikit-image.org/docs/dev/auto_examples

General-purpose and introductory examples for scikit-image. Introduces conventions and basic image manipulations. Manipulating exposure and color channels. Immunohistochemical staining colors separation. Adapting gray-scale filters to RGB images. Gamma and log contrast adjustment. Straight line Hough transform. Approximate and subdivide polygons. Circular and Elliptical Hough Transforms. Detection of features and objects. Dense DAISY feature description. Histogram of Oriented Gradients. Comparing edge-ba...

3

skimage 0.12.2 docs — skimage v0.12.2 docs

http://scikit-image.org/docs/stable

Skimage 0.12.2 docs. Scikit-image is an image processing toolbox for SciPy. View the latest release notes here. Documentation for the functions included in skimage. How to install skimage. Take part in development. Conditions on the use and redistribution of this package. All functions, classes, terms.

4

License — skimage v0.13dev docs

http://scikit-image.org/docs/dev/license.html

CellProfiler BSD license announcement.

5

Module: transform — skimage v0.13dev docs

http://scikit-image.org/docs/dev/api/skimage.transform.html

Skimage.transform.downscale local mean. Down-sample N-dimensional image by local averaging. Skimage.transform.estimate transform. Ttype, .). Estimate 2D geometric transformation parameters. Compute the 2-dimensional finite radon transform (FRT) for an n x n integer array. Skimage.transform.hough circle. Perform a circular Hough transform. Skimage.transform.hough ellipse. Img[, .]). Perform an elliptical Hough transform. Skimage.transform.hough line. Perform a straight line Hough transform. Hspace, .).

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damcb.com

Segmenting nuclei with skimage - DamCB

http://damcb.com/segmenting-nuclei.html

Segmenting nuclei with skimage. Lun 05 mai 2014. In this post, well see a way to segment nuclei in a confocal microscopy image stack using skimage. First import all we need. As I go on with the analysis, I usually add in the first cell all the. Statements, rather than having them spread across the notebook. Once development is done, this will go into a script, and those. Will already be sorted out. Plugin (see http:/ www.lfd.uci.edu/ gohlke/code/tifffile.py.html. Mpl toolkits.axes grid1. Well see why lat...

paratools.com

HPCLinux/azure - ParaTools, Inc.

http://www.paratools.com/HPCLinux/azure

Is an authorized reseller of the SysFera-DS. Software in the US, UK, and Germany. Please contact us to request a quotation. Kppa: A high performance source code generator for chemical kinetics. Will appear at EMiT 2015. Python Performance Evaluation with the TAU Performance System. Will appear at UCAR Software Engineering Assembly Conference. ParaTools, SAS, France. Is now a member of TeraTec. Join ParaTools at a tools workshop. Is a gold sponsor of the PGAS'14 conference. In Eugene, OR. See TAU/PGAS.

curiousvenn.com

Curious Venn | A curious intersection of various interests | Page 2

http://www.curiousvenn.com/page/2

A curious intersection of various interests. Newer posts →. October and November cycling & running events. October 5, 2014. I’ve been asked a few times, so here is the list of upcoming cycling and running events that I have entered. Oct 19: Around the Bay in a Day. A 250km bike ride, counter-clockwise around Port Phillip Bay. This is a social ride with friends, so a nice warm-up for the following weekend’s ride…. Oct 26: Fitz’s Challenge. Nov 16: Point to Pinnacle. Notes from MPUG, Sep 2014. Deep learnin...

soa-world.de

Echelon Blog

http://www.soa-world.de/echelon/page/2

Cutting off Google’s Tentacles. January 12, 2014 - no comments yet. I just realized how easy it is to cut off one of Google’s tentacles throughout the web. This is a WordPress blog and I used the Ultimate Google Analytics plugin to keep track of the number of visitors, where they come from (referer, not geo-location), keywords and so forth. So I uninstalled the Google Analytics plugin, deleted my Google Analytics account and installed the WordPress Statistics plugin. I can recommend this plugin as well.

lisa.ulb.ac.be

Olivier DEBEIR - Image

http://lisa.ulb.ac.be/image/index.php/Olivier_DEBEIR

Monday, 10 April 2017. Tel: 32.2.650.22.93 fax: 32.2.650.22.98. ULB - LISA CP165/57. 50, Av. F.Roosevelt. Professor for the following course:. Introduction to medical imaging and to optical microscopy. Image acquisition and processing. Pattern recognition and image analysis. Ethique et questions actuelles d'ingénierie médicale. Cell biology and Cellular imaging. Remote Sensing image analysis Remote sensing. MARCH : Multi-classifier systems (MCS). Animal and Veterinary Histological Atlas [1]. Url={https:/...

shreshai.blogspot.com

QGIS, remote sensing, Matlab, ENVI, Python, eCognition: MATLAB Tutorial: Finding center pivot irrigation fields in a high resolution image

http://shreshai.blogspot.com/2015/01/matlab-tutorial-finding-center-pivot.html

QGIS, remote sensing, Matlab, ENVI, Python, eCognition. Wednesday, 14 January 2015. MATLAB Tutorial: Finding center pivot irrigation fields in a high resolution image. In this post, we will be talking about finding circular irrigation fields. The image was download from here. If you have this excellent book. For Hough’s transformation for straight line detection, you can use either PYTHON based Scikit-image. Or MATLAB. Circular Hough's transformation is also available in both scikit-image and openCV.

shreshai.blogspot.com

QGIS, remote sensing, Matlab, ENVI, Python, eCognition: January 2015

http://shreshai.blogspot.com/2015_01_01_archive.html

QGIS, remote sensing, Matlab, ENVI, Python, eCognition. Wednesday, 14 January 2015. MATLAB Tutorial: Finding center pivot irrigation fields in a high resolution image. In this post, we will be talking about finding circular irrigation fields. The image was download from here. If you have this excellent book. For Hough’s transformation for straight line detection, you can use either PYTHON based Scikit-image. Or MATLAB. Circular Hough's transformation is also available in both scikit-image and openCV.

ilovesymposia.com

SciPy 2014: an extremely useful conference with a diversity problem | I Love Symposia!

https://ilovesymposia.com/2014/07/17/scipy-2014-recap

Science and Tech for the Small Fry. SciPy 2014: an extremely useful conference with a diversity problem. July 17, 2014. I just got back home from the SciPy 2014. Conference in Austin, TX. Here are my thoughts after this year’s conference. About SciPy in general. Change the way I do science. This year, Greg Wilson said of Software Carpentry, “We save researchers a day a week for the rest of their careers.” I feel the same way about SciPy in general. In the 2012 sprints, I learned about GitHub Pull Requests.

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Aiki-Jujitsu, Kick-Boxing and self defence in the Kingston-Upon-Thames area, for the new and the experienced Martial Artist. Find us in our new home, Chessington Sports Centre, for all your Martial Arts needs. Welcome to the website for Spirit Combat Kingston! We also coach Kick-Boxing, Self-Defence (a Ladies' Self Defence syllabus is available) and Weapons Combat. If you're looking for a local martial arts club, that offers cross training mixed into a Traditional Martial Art - look no further! June Stud...

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scikit-bio.org

scikit-bio

Scikit-bio is an open-source, BSD-licensed, python package providing data structures, algorithms, and educational resources for bioinformatics. Scikit-bio is currently in beta. We are very actively developing it, and backward-incompatible interface changes can and will arise. For more details, including what we mean by. To install the latest release of scikit-bio:. Equivalently, you can use the. Package manager available in Anaconda. You can verify your installation by running the scikit-bio unit tests:.

scikit-criteria.org

Indices and tables — Scikit-Criteria 0.0.1 documentation

Scikit-criteria is a collection of Multiple-criteria decision analysis ( MCDA. Methods integrated into scientific python stack. Built on NumPy, SciPy, and matplotlib. Open source, commercially usable - BSD license. Provided by Read the Docs. On Read the Docs. Free document hosting provided by Read the Docs.

scikit-image.org

scikit-image: Image processing in Python — scikit-image

Image processing in Python. Is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. Filtering an image with. For more examples, please visit our gallery. Or any NumPy array! If you find this project useful, please cite:. PeerJ 2:e453 (2014) http:/ dx.doi.org/10.7717/peerj.453. Version 0.11.0 04/03/2015. Version 0.10.0 27/05/2014. Belgium, August 2012.

scikit-learn.org

scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation

Scikit-learn 0.16 (Stable). Machine Learning in Python. Simple and efficient tools for data mining and data analysis. Accessible to everybody, and reusable in various contexts. Built on NumPy, SciPy, and matplotlib. Open source, commercially usable - BSD license. An introduction to machine learning with scikit-learn. Machine learning: the problem setting. Loading an example dataset. A tutorial on statistical-learning for scientific data processing. Nearest neighbor and the curse of dimensionality. Evalua...

scikit-multilearn.github.io

scikit-multilearn | Multi-label classification package for python

Multi-label classification package for python. Download 0.0.1. A native Python implementation of a variety of multi-label classification algorithms. The list includes:. Label cooccurence-based partitioning clasifiers. Hierarchy of Multi-label Classifiers [in-progress]. Classifier chains and others [in-progress]. For reference purposes and integration needs a Meka wrapper class is implemented. Thus providing access to all methods available in meka, mulan and weka - the reference standard of the field.

scikit-nano.org

scikit-nano

The scikit-nano Project is an open-source Python toolkit for nanoscience. Current Version: 0.3.21. You can install the latest version of scikit-nano using pip. Or by downloading the source code and installing it manually - see the Source. Tab above for more details. You can install the latest version of scikit-nano using pip. Or by downloading the source code and installing it manually - see the Source. Tab above for more details. You can install the latest version of scikit-nano using pip. Check out the...

scikit-optimize.github.io

skopt API documentation

Store and load results. Is a simple and efficient library for sequential model-based optimization, accessible to everybody and reusable in various contexts. The library is built on top of NumPy, SciPy and Scikit-Learn. Find the minimum of the noisy function. For more read our introduction to bayesian optimization. And the other examples. The library is still experimental and under heavy development. The development version can be installed through:. Run the tests by executing. In the top level directory.

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Technorazzi: Updates on Science and Technology

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