Texture feature is an important low level feature in the image, it can be used to describe the contents of an image or a region in additional to colour features as colour features are not sufficient to identify the image since different images may have similar histograms.
several methods can be used to describe the main features of the textures such as coarseness and regularity. Gray-Level Cooccurrence matrices measure is one of the most important measures that can be used to describe the texture,
for more clarification, consider the trees leaves and the grass, both may give the same colour histogram but we can differentiate between them by using the texture features such as smoothness and coarseness.
Texture feature is an important low level feature in the image, it can be used to describe the contents of an image or a region in additional to colour features as colour features are not sufficient to identify the image since different images may have similar histograms.
several methods can be used to describe the main features of the textures such as coarseness and regularity. Gray-Level Cooccurrence matrices measure is one of the most important measures that can be used to describe the texture,
for more clarification, consider the trees leaves and the grass, both may give the same colour histogram but we can differentiate between them by using the texture features such as smoothness and coarseness.
texture features give you more details about specific region in image not only colors,but also the arrangements of colors such as grass,sands and tiger image.You can get texture of image using wavelet transforms.