# bwarea

Area of objects in binary image

## Description

example

total = bwarea(BW) estimates the area of the objects in binary image BW. total is a scalar whose value corresponds roughly to the total number of on pixels in the image, but might not be exactly the same because different patterns of pixels are weighted differently.

## Examples

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Read a binary image and display it.

imshow(BW)

Calculate the area of objects in the image.

bwarea(BW)
ans = 1.4187e+04

## Input Arguments

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Binary image, specified as a 2-D numeric or logical matrix. For numeric input, any nonzero pixels are considered to be 1 (true).

Example: BW = imread('text.png'); L = bwlabel(BW);

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical

## Output Arguments

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Estimated number of on pixels in binary image BW, returned as a numeric scalar.

Data Types: double

## Algorithms

bwarea estimates the area of all of the on pixels in an image by summing the areas of each pixel in the image. The area of an individual pixel is determined by looking at its 2-by-2 neighborhood. There are six different patterns, each representing a different area:

• Patterns with zero on pixels (area = 0)

• Patterns with one on pixel (area = 1/4)

• Patterns with two adjacent on pixels (area = 1/2)

• Patterns with two diagonal on pixels (area = 3/4)

• Patterns with three on pixels (area = 7/8)

• Patterns with all four on pixels (area = 1)

Each pixel is part of four different 2-by-2 neighborhoods. This means, for example, that a single on pixel surrounded by off pixels has a total area of 1.

## References

[1] Pratt, William K., Digital Image Processing, New York, John Wiley & Sons, Inc., 1991, p. 634.

## Version History

Introduced before R2006a