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The simplest method of drawing a line involves directly calculating pixel positions from a line equation. Given a starting point (,) and an end point (,), points on the line fulfill the equation = +, with = = being the slope of the line. The line can then be drawn by evaluating this equation via a simple loop, as shown in the following pseudocode:
Recall that, outside an image-table, the parameter |right causes an image to align (either) above or below an infobox, but would not float alongside the infobox. Note the order of precedence: first come infoboxes or images using |right, then come the floating tables, and lastly, any text wraps that can still fit. If the first word of the text ...
Align the top of the image to the top of the line containing the text. Normally this is slightly higher than the top of the text, to make space between lines of text. [[File:Flag of Hungary vertical.svg| top |20px|link=|alt=]] Align the bottom of the image to the bottom of the line containing the text.
In the example from "Double rounding" section, rounding 9.46 to one decimal gives 9.4, which rounding to integer in turn gives 9. With binary arithmetic, this rounding is also called "round to odd" (not to be confused with "round half to odd"). For example, when rounding to 1/4 (0.01 in binary), x = 2.0 ⇒ result is 2 (10.00 in binary)
The value of the line function at this midpoint is the sole determinant of which point should be chosen. The adjacent image shows the blue point (2,2) chosen to be on the line with two candidate points in green (3,2) and (3,3). The black point (3, 2.5) is the midpoint between the two candidate points.
25A0 25B0 25C0 Symbol Name Symbol Name Symbol Name Last Hex# HTML Hex HTML Hex HTML Hex Dec Picture Dec Picture Dec Picture BLACK SQUARE: BLACK PARALLELOGRAM: : BLACK LEFT-POINTING TRIANGLE
See also Template:Easy CSS image crop, which simplifies the interface for this template a bit. {{CSS image crop}} creates a crop of an image inline for previewing the look and feel of a page, or for linking to full images when a slight crop is preferred in an article, but the full image is more encyclopaedic in general. Where only a small ...
A simple rectangular Haar-like feature can be defined as the difference of the sum of pixels of areas inside the rectangle, which can be at any position and scale within the original image. This modified feature set is called 2-rectangle feature. Viola and Jones also defined 3-rectangle features and 4-rectangle features.