Using cv mat create nrows ncols type method or the similar constructor cv mat mat nrows ncols type fill value constructor.
Cv mat data.
Mat data gives a pointer which refers to the original data matrix.
In the previous recipe you were introduced to the cv mat data structure.
They just process elements of an array one by one or elements from multiple arrays that have the same coordinates for example array addition.
This is about how you store the pixel values.
In this data matrix all the pixel values are stored in 1d array.
The cv mat data structure is essentially made up of two parts.
Type has the same meaning as in cvcreatemat.
Some operations like the one above do not actually depend on the array shape.
Uchar pixval cv mat elem grayimg uchar i j cv mat elem cameramatrix float 0 2 image width 0 5f.
You can select the color space and the data type used.
A header and a data block.
The header contains all of the information associated with the matrix size number of channels data type and so on.
There are many different ways to create cv mat object.
If the format depth or channel order is different use mat convertto and cv cvtcolor to convert it before saving.
The previous recipe showed you how to access some of the attributes of this structure contained in its header for example by using cols rows or channels.
To access multiple channel matrices you can use cv mat elem matrix.
A new matrix of the specified size and specifed type will be allocated.
The underlying matrix of an image may be copied using the cv mat clone and cv mat copyto functions.
In the previous recipe you were introduced to the cv mat data structure.
Multiple images vector of mat can be saved in tiff format see the code sample below.
Here are the some popular ones.
Matrix elements are stored row by row.
As mentioned this is a key element of the library.
The color space refers to how we combine color components in order to code a given color.