Learn more about Video and Image Processing Blockset

Image Complement - Compute complement of pixel values in binary, intensity, or RGB images

Library

Conversions

Description

The Image Complement block computes the complement of a binary, intensity, or RGB image. For binary images, the block replaces pixel values equal to 0 with 1 and pixel values equal to 1 with 0. For an intensity or RGB image, the block subtracts each pixel value from the maximum value that can be represented by the input data type and outputs the difference.

For example, suppose the input pixel values are given by x(i) and the output pixel values are given by y(i). If the data type of the input is double or single precision floating-point, the block outputs y(i) = 1.0-x(i). If the input is an 8-bit unsigned integer, the block outputs y(i) = 255-x(i).

Port	Input/Output	Supported Data Types	Complex Values Supported
Input	Vector or matrix of intensity values	Double-precision floating point Single-precision floating point Boolean 8-, 16-, 32-bit signed integer 8-, 16-, 32-bit unsigned integer	No
Output	Complement of a binary, intensity, or RGB image	Same as Input port	No

The dimensions, data type, complexity, and frame status of the input and output signals are the same.

Dialog Box

The Image Complement dialog box appears as shown in the following figure.

See Also

Autothreshold	Video and Image Processing Blockset software
Chroma Resampling	Video and Image Processing Blockset software
Color Space Conversion	Video and Image Processing Blockset software
imcomplement	Image Processing Toolbox software

Hough Transform

Image Data Type Conversion

© 1984-2009- The MathWorks, Inc.    -   Site Help   -   Patents   -   Trademarks   -   Privacy Policy   -   Preventing Piracy   -   RSS