VXL is a set of C++ computer vision libraries with support for imaging and streaming IO, geometry for advanced graphics and generic number-crunching algorithms for matrix or vector manipulation (See link). You also have a fair level of GUI development support which can be checked at their online book at the following link. (http://public.kitware.com/vxl/doc/release/books/core/book_10.html#SEC112).

http://vxl.sourceforge.net/

You can also use OpenCV with Python :

http://opencvpython.blogspot.jp/

You can use AForge.NET if you are working on .NET framework.

AForge.NET is a C# framework designed for researchers in the fields of Computer Vision and Artificial Intelligence: image processing, computer vision, neural networks, genetic algorithms, machine learning.

http://www.aforgenet.com/

Opencv & aforge.net

Opencv is definitely a great tool for computer vision, but you want to play around with machine learning algorithms WEKA is a great tool. The thing is you will always find tools with the state of the art and most sought out algorithms. The way you modify the front end code will make the algorithms better. Over the years MATLAB has become a great prototyping tool for computer vision and machine learning will toolboxes available for all algorithms.

For sure OpenCV and VlFeat are two very helpful libraries with many implemented SoA algorithms. I would recommend them without any hesitation:

http://opencv.org/, http://www.vlfeat.org/

To Rafał Lewkowicz "... (http://ilab.usc.edu/toolkit/overview.shtml) ? What do you think about this tool ? "

I try to read random article (2012 y) about detection with HMAX, and i think it is old way. Now is more popular deep learning like CNN ( RBM, sparse coding, ...). If you whant use neural like software use deep neural nets. For example https://github.com/rasmusbergpalm/DeepLearnToolbox

I would recommend opencv for image processing and the point cloud library (pcl) for computer vision.

http://pointclouds.org/

They are multi-platform, and compatible together, both in c++

Opencv for 2d and PCL for 3d. I am agree.

OpenCV without doubts…

It depends on the aplication but I will recomend Python.

In the link below you can find a bunch of open-source softwares for the computer vision perocessing:

http://www.computervisiononline.com/software

How about the RStudio using R language with help of BioConductor packages. Bioconductor is working on the image processing packages. 

http://gisgeography.com/open-source-remote-sensing-software-packages/

10 open source packages: ILWIS & GRASS are good choices

In IPRG the Software / Tools

http://iprg.co.in/index.php?option=com_zoo&task=category&category_id=4

I am trying to do feature extraction in some raster images, can anyone share some best softwares

CVIPtools and it's CVIP-FEPC(Feature Extraction and Pattern Classification) and CVIP-ATAT( Algorithm Test and Analysis Tool) are quite handy for the beginners. It is suitable for academic and research. http://cviptools.ece.siue.edu/

Please suggest me best simulation software for doing Medical  Image segmentation techniques other than Matlab.

please suggest me any open source softwares for image processing,wireless communication.

Try Scilab ... it is almost equivalent to Matlab, but it's free.

OpenCv.. very powerful..Do Try it..

openCV

MATLAB image processing toolbox

sourceforge.net library

VLFEAT library

weaka

java image processing and medical imaging toolbox

Dear sir;depending on your images dataset you can use Matlab toolbox of image processing or you can use open CV.

OpenCV + Java. Yo are free to move into any operative system, without recompiling. Good performance and memory management.

Dinesh Ramegowda, OpenCV for c++/Python and BoofCV for java developers are good.

you may try Qgis (https://www.qgis.org). though intented for gis applications, it do have set of powerfull image processing tools.

Octave is also a open source matlab like tools for image processing