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A typical vector implementation consists, internally, of a pointer to a dynamically allocated array, [1] and possibly data members holding the capacity and size of the vector. The size of the vector refers to the actual number of elements, while the capacity refers to the size of the internal array.
Set the corresponding pixel to 0 in Image. A vector (Index) is updated with all the neighboring pixels of the currently set pixels. Unique pixels are retained and repeated pixels are removed. Set the pixels indicated by Index to mark in the connected-component matrix. Increment the marker for another object in the image.
The k-way merge problem consists of merging k sorted arrays to produce a single sorted array with the same elements.Denote by n the total number of elements. n is equal to the size of the output array and the sum of the sizes of the k input arrays.
Afterwards, each distinct remaining set will be associated with a distinct connected component in the image. Step three performs another post-order traversal. This time, for each black node v {\displaystyle v} we use the union-find's find operation (with the old label of v {\displaystyle v} ) to find and assign v {\displaystyle v} its new label ...
Key uniqueness: in map and set each key must be unique. multimap and multiset do not have this restriction. Element composition: in map and multimap each element is composed from a key and a mapped value. In set and multiset each element is key; there are no mapped values. Element ordering: elements follow a strict weak ordering [1]
In this example a background image, a sprite, and a 1-bit mask are used. As the mask is 1-bit, there is no possibility for partial transparency via alpha blending . A loop that examines each bit in the mask and copies the pixel from the sprite only if the mask is set will be much slower than hardware that can apply exactly the same operation to ...
The black depth of a node is defined as the number of black nodes from the root to that node (i.e. the number of black ancestors). The black height of a red–black tree is the number of black nodes in any path from the root to the leaves, which, by requirement 4, is constant (alternatively, it could be defined as the black depth of any leaf node).
The number of edges along the shortest path between two nodes. Level The level of a node is the number of edges along the unique path between it and the root node. [4] This is the same as depth. Width The number of nodes in a level. Breadth The number of leaves. Forest A set of one or more disjoint trees. Ordered tree