Core Module

Images

See Images for a description of the image concepts and image basics.

Ranges extensions for ranges with new concepts and helper functions.

`mln::pad()`	Pad an image inplace
`mln::copy_pad()`	Copy a region of an image and fill missing values wrt a padding policy.

Fundamental primitives for basic image manipulation. Those are grouped by:

Modifying or Non-modifying if they output and write an image
Value or Pixel if the localisation (i.e. point/index) is used for processing

Non-modifying image primitives that operates on values

All_of, any_of, none_of	checks if a predicate is true for all, any or none of the image values
For_each	applies a function to the values of an image
Count If Count If	returns the number of values satisfying specific criteria
Equal	checks if two images have the same values
Accumulate (reduce)	sums up values of an image

Non-modifying image primitives that operates on pixels

returns a container of image points (or indexes)

Modifying image primitives that operates on values

Copy	copies image values to another image (without localization)
Fill	assigns a value to image values
Clone	copies an image in a new image
Paste	copies image pixels to another image (with localization)
Transform	applies a function to the values of an image
Generate	generate the values of an image by a function
Iota	generate the values of an image with increasing value

Modifying image primitives that operates on pixels

integrate (partial sum, inclusive scan)

computes the partial sum of image values (used for integral images)

STL are the fundamentals concepts of the C++ standard library that we are building our concept upon. They are our building blocks.

`imconcretize(f)`	Creates a new writable image with the geometry of f.
`imchvalue(f)`	Creates a new writable image with the geomerty of f able to store values of type U
`resize(g,f)`	Resize g to the geometry of f

`ndpoint` `ndpointref`	Generic point that hold n coordinates
`ndbox` `ndboxref`	Generic box in n dimension

`view::transform(ima, f)`	Views the image with a function applied to the values.
`view::filter(ima, pred)`	Views the image restricted to pixels whose values pass a predicate.
`view::mask(ima, mask)`	Views the image restricted to pixels in a binary mask.
`view::clip(ima, roi)`	Views the image restricted to a sub-region.
`view::zip(ima1, ima2, ..., imaN)`	Views a list of images as a single image whose values are tuples of the each image values.

`view::cast<T>(ima)`	Views the image with the values casted into `T`
`view::channel(ima, k)`	Views the k-th channel of the image
`view::red(ima)` `view::green(ima)` `view::blue(ima)`	Views the red, green or blue channel of the image