Texture is a significant spatial property that precisely captures patterns in a satellite image.
Texture-based classification plays a vital role in land use-land cover application of remotely …

Directionality is useful in many computer vision, pattern recognition, visualization, and
multimedia applications since it is considered as an important pre-attentive attribute in …

Texture features play a vital role in land cover classification of remotely sensed images.
Local binary pattern (LBP) is a texture model that has been widely used in many …

The measurement of properties is very important for both material design and quality control.
As materials' properties are determined by the microstructure of the materials such as grain …

Accuracy of land cover classification in remotely sensed images relies on the utilized
classifier and extracted features. Texture features are significant in land cover classification …

The objective of this research is to develop a computer-based diagnosis system which is
capable of recognizing normal and edematous humeral head images by using texture …

Accuracy of land cover classification in remotely sensed images relies on the features
extracted and the classifier used. Texture features are significant in land cover classification …

As relics of history, ancient copper inscriptions are found in many countries. Information in
the image or letter forms contained on copper ancient inscription has a very high value. The …

Texture is one of the fundamental image characteristics useful in computer vision tasks such
as object recognition and scene analysis. Texture segmentation is one of the image analysis …

This chapter explores texture, texture model, and properties of texture in image processing. It
exposes standard texture dataset to the reader which is vital for the validation of any new …