|Entropy of grayscale image|
|Local entropy of grayscale image|
|Local range of image|
|Local standard deviation of image|
Texture analysis uses statistical measures to classify textures. It can detect the boundaries of objects that are characterized more by texture than by intensity.
This example shows how to detect edges and contours of objects in an image based on the texture of the objects against the background.
The GLCM characterizes texture based on the number of pixel pairs with specific intensity values arranged in specific spatial relationships.
When you create a single GLCM, the default spatial relationship is defined as two horizontally adjacent pixels.
You can create multiple GLCMs with different spatial relationships between pixels to obtain additional information about textural features.
This example shows how to create a set of GLCMs and derive statistics from them.
This example shows how to use texture segmentation to identify regions based on their texture.