|Convert grayscale or binary image to indexed image|
|Convert indexed image to grayscale image|
|Convert matrix to grayscale image|
|Convert RGB image or colormap to grayscale|
|Convert RGB image to indexed image|
|Convert indexed image to RGB image|
|Convert label matrix into RGB image|
|Convert Bayer pattern encoded image to truecolor image|
|Binarize 2-D grayscale image or 3-D volume by thresholding|
|Quantize image using specified quantization levels and output values|
|Multilevel image thresholds using Otsu’s method|
|Adaptive image threshold using local first-order statistics|
|Global histogram threshold using Otsu's method|
|Global image threshold using Otsu's method|
|Convert grayscale image to indexed image using multilevel thresholding|
Image types determine how MATLAB® interprets data matrix elements as pixel intensity values. The toolbox supports binary, indexed, grayscale, and truecolor image types.
Certain image processing operations support only a subset of the image types. You can convert images between the image types to suit the operation.
You can convert image data between classes using functions that automatically rescale and offset the original data.