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Image J

Image Processing and Analysis in Java

ImageJ is written in Java, which allows it to run on Linux, Mac OS X and Windows, in both 32-bit and 64-bit modes.Automate tasks and create custom tools usingmacros. Generate macro code using thecommand recorderand debug it using themacro debugger. More than 300 macrosare availableon the ImageJ Web site. Extend ImageJ by developing plugins using ImageJ's built in text editor and Java compiler. More than 500 pluginsare available. Use ImageJ as a image processing toolkit (class library) to developapplets, servletsor applications.
website:  https://imagej.nih.gov/ij/index.html

Fuzzy Logic Image Processing

An edge is a boundary between two uniform regions. You can detect an edge by comparing the intensity of neighboring pixels. small intensity differences between two neighboring pixels do not always represent an edge. Instead, the intensity difference might represent a shading effect. The fuzzy logic approach for image processing allows you to use membership functions to define the degree to which a pixel belongs to an edge or a uniform region.
Import RGB Image and Convert to Grayscale
I = imread('peppers.png');
I' = 0.2989*I(:,:,1)+0.5870*I(:,:,2)+0.1140*I(:,:,3); figure; image(I','DataMapping','scaled'); colormap('gray'); title('Input Image in Grayscale') 




Convert Image to Double-Precision Data
I = double(I');
Type = class(I'); scaling = double(intmax(Type)); I = I/scaling; 

Obtain Image Gradient
Gx = [-1 1]; Gy = Gx'; Ix = conv2(I,Gx,'same'); Iy = conv2(I,Gy,'same'); figure; image(Ix,'DataMapping','s…

Top 10 Open Software for Image Processing Domain

OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications.
VLFeat
VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching.
BoofCV

BoofCV is an open source Java library for real-time computer vision and robotics applications.
VTK