Let’s start to write our first program to get the idea. This will demonstrate how to. The CImg Library – C++ Template Image Processing Toolkit. FAQ Summary. General information and availability. What is the CImg Library?.

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Pointwise min operator between instance image and a value [new-instance version]. Cumulate image values, optionally along specified axis.

c++ – How to use ‘CImg’ and it’s basic functions – Stack Overflow

Save blank image as a. Return a shared-memory image referencing a range of pixels of the image instance [const version]. Construct image with specified size and initialize pixel values from a value string. Load image sequence from a YUV file. A CImgIOException is thrown when the specified filename cannot be read, or if the file format is not recognized.

This implicit conversion is convenient to test the empty state of images data being 0 in this casee. Cut pixel values in specified range. Blur image, with the joint bilateral filter [new-instance version]. Warning The allocated pixel buffer is not filled with a default value, and is likely to contain garbage documenntation.

Generate a isoline of the image instance as a 3D object. Modifying a pixel value in the constructed copy will thus also modifies it in the input image img. Generate a 3D cylinder. Return pixel value, using cubic interpolation and Neumann boundary conditions for the X-coordinate.


Compute the square value of each pixel value. Value string values may describe two different filling processes: Test if all pixel values of an image follow a specified expression. This really means a huge number of possible combinations. Germany, from Justin Pletzfeld. Note Constructed copy has the dodumentation size width x height x depth x spectrum and pixel values as the input image img. Return a NxN identity matrix. Unroll pixel values along axis y. Test if image height and depth are equal documentatioh specified values.

Parameters img Destination image. Autocrop image region, regarding the specified background color [new-instance version]. Draw a textured 2D spline. Compute chamfer distance to a specified value, with a custom metric [new-instance version]. Return pixel value, using cubic socumentation and Dirichlet boundary conditions for the X and Y-coordinates.

Return pixel value, using cubic interpolation and Neumann boundary conditions for the X,Y and Z-coordinates. Load image sequence from a video file, using OpenCV library. By default, CImg displays handles events mouse,keyboard. Save image as a JPEG file. Blur image, with the image guided filter. Note It simply returns the pointer data to the pixel buffer.

Access to a pixel value, using Neumann boundary conditions for the X,Y and Z-coordinates.

You can write tutorials or parts of the documentation. Compute Euclidean distance function to a specified value. Index multi-valued pixels regarding to a specified colormap [new-instance version].


The CImg Library Documentation

Compute the bitwise left rotation of each pixel value. Well, just look at the code below, it does the task: Note Similar to CImg unsigned int,unsigned int,unsigned int,unsigned intbut it also fills the pixel buffer with a sequence of specified integer values.

Fill all pixel values with specified value [new-instance version]. The image grid can have up to 4 dimensions: Return a shared-memory image referencing one slice of the image instance. Assign a value to all image pixels. Draw a textured 2D dockmentation, with perspective correction and z-buffering. This will demonstrate how to load and create images, as well as handle image display and mouse events.

Compute norm of documentagion image, viewed as a matrix. Return pixel value, using cubic interpolation and Dirichlet boundary conditions for the X-coordinate. Compute the hyperbolic tangent of each pixel value.

Save image as a raw data file. Return a shared memory image referencing a range of slices of the image instance.

Creation of two instances of images of unsigned char pixels. In-place version of the advanced copy constructor. Docu,entation pixel value, using linear interpolation for the X-coordinates.