I am trying to learn to use Scilab and ImageJ, which is software that uses computer coding commands to make graphs and spreadsheets, etc. I've never learned how to code, could you direct me to any websites/classes/online tutorials that would be helpful?
Is there a specific reason to use ImageJ?
Scilab provides a lot of native plotting functionality and for specific image processing operations you can extend Scilab with a toolbox like SIVP.
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I´m a beginner on computer vision, but I know how to use some functions on opencv. I´m tryng to use Opencv for Document Recognition, I want a help to find the steps for it.
I´m thinking to use opencv example find_obj.cpp , but the documents, for example passport, has some variables, name, birthdate, pictures. So, I need a help to define the steps for it, and if is possible how function I have to use on the steps.
I'm not asking a whole code, but if anyone has any example link or you can just type a walkthrough, it is of great help.
There are two very different steps involved here. One is detecting your object, and the other is analyzing it.
For object detection, you're just trying to figure out whether the object is in the frame, and approximately where it's located. The OpenCv features framework is great for this. For some tutorials and comprehensive sample code, see the OpenCv features2d tutorials and especially the feature matching tutorial.
For analysis, you need to dig into optical character recognition (OCR). OpenCv does not include OCR libraries, but I recommend checking out tesseract-ocr, which is a great OCR library. If your documents have a fixed structured (consistent layout of text fields) then tesseract-ocr is all you need. For more advanced analysis checking out ocropus, which uses tesseract-ocr but adds layout analysis.
i have been given a project where i will need to write code such that it parts of images. For example the project will require me to extract a river part from the scenery or so. I have no experience in this context. Please tell me where do i start studying form. Which are good books? Which technologies will i need to learn. What are the tools that are helpful?
openCV is probably the most complete free image processing library.
There is also a book which describes both the library and some image processing techniques.
This is a reasonably complex problem, not exactly graduate research but challenging!
See this question for a list of other books.
ImageJ is an easy to use, scriptable, modular, open source software, which may be quite useful in learning image processing. As for books, Digital Image Processing by Gonzalez et al. is de facto standard.
Unsure if this Q is closed but I recommend NetPBM and similar packages. This allows you to define images as text and perform operations but in a manner (albeit slow processing) that makes it very easy to understand.
I need to process DICOM formatted medical images and visualize them in 3D, also do some image processing on these images on real-time. Therefore, I am asking this question to learn which SDK has better real-time characteristics for medical visualization and image processing?
The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing and visualization.
You can find details here.
Or another solution would be the modifying or utilizing 3D engine that supports volume rendering.
Moreover, for computer vision algorithms, OpenCV seems promising.
osgVolume is an add-in to the popular openscenegraph library for doing this
Just use GDCM+VTK. In 2D simply use gdcmviewer. In 3D you need to build gdcmorthoplanes.
Ref:
http://sourceforge.net/apps/mediawiki/gdcm/index.php?title=Gdcmviewer
http://sourceforge.net/apps/mediawiki/gdcm/index.php?title=Using_GDCM_API
You could check out MITK (http://mitk.org) which combines the already mentioned VTK with the Insight Toolkit (http://www.itk.org) for image processing. Another option to start from could be Slicer (http://www.slicer.org), but this depends on the license you need.
In a uni we were taught Matlab for DICOM file processing. I think it has pretty nice and easy to use plugins for that as well. The end results were that using Matlab I was able to do all kinds of DICOM image processing, filtering and so forth.
As you probably know, Matlab is not SDK but a complete environment. Nevertheless you can write scripts to achieve normal application behavior: Create windows, buttons, images, etc.
Does anybody here do computer vision work on Mathematica? I would like to know what external libraries are available for doing that. The built in image processing functions are not enough. I am looking for things like SURF, stereo, camera calibration, multi-view geometry etc.
How difficult would it be to wrap OpenCV for use in Mathematica?
Apart from the extensive set of image processing tools that are now (version 8) natively present in Mathematica, and which include a number of CV algorithms like finding morphologic objects, image segmentation and feature detection (see figure below), there's the new LibraryLink functionality, which makes working with DLLs very easy. You wouldn't have to change OpenCV much to be able to call it from Mathematica. Just some wrappers for the functions to be called and you're basically done.
I don't think such a thing exists, but I'm getting started.
It has the advantage that you can perform some analytic methods... for example rather than hacking in openCV or even Matlab endlessly, you can compute analytically a quantity, and see that the method leading to this matrix is numerically unstable as a function of input variables. Thus you do not need to hack, as it would be pointless.
As for wrapping opencv, that doesn't seem to make sense. The correct procedure would be to fix bad implementations in opencv based on your analysis in Mathematica and on paper.
Agreeing with Peter, I don't believe that forcing Mathematica to use OpenCV is a great thing.
All of the computer vision people that I've talked to, read about, and seen examples are using Matlab and the Imaging toolkit. Its either that, or go with a OpenCV compatible language + OpenCV.
Mathematica has a rich set of tools for image processing, but I'm uncertain about the computer vision capabilities.
I am interested in studying some image processing. I imagine matlab is the best way to go about that but right now I don't have access to matlab. I tried octave but for some reason it can't even load a png, bmp or anything other than 1 specific format. R doesn't seem to be the key here either.
What is the language of choice here? Perl?
Also can anyone point me to any other good tutorials that I may have missed on image processing?
Opencv is an excellent image processing library. Although written in C it comes with some high level tools to display images handle image files, mouse events etc so you can experiment without writing a lot of windows code.
It also works with python, although I haven't used it with the PIL.
If you are interested in how the algorithms work then implementing them yourself using python and numpy for the matrix ops is easy.
I guess it depends on what you want to do. Matlab certainly is a high end choice, but for a lot of things the image modules of general purpose programming languages do the trick.
I did some pixel mangling and image processing with PIL, the python image library. It is perfectly sufficient for processing single RGB images of reasonable size (say, what a consumer digital camera delivers). It can handle alpha channels, has some filters, more or less quick methods of accessing the pixel information - and it is python, a very straightforward and readable language.
The recommended language in my computer vision class was Ch with the OpenCV library. Ch is basically an interpreted version of C, the syntax is quite similar but has a few nice features, like treating arrays as matrices. OpenCV will house pretty much any image processing function you could need.
I think any free programming environments will do basic image processing well. If speed is not an issue, Processing will work fine and you can easily extend your code to Java in the future.
Have a look at Adobe Pixel Bender. It's really fun to play with.