Textures point to visual properties of objects surface which through them, can determine the type of an object and its properties. As a result, the textures are important components of the world. To this reason, field to texture analysis has indicated in the computer vision. In this field, has studied texture justify; MARGIN: 0cm 0cm 0pt; unicode-bidi: embed; DIRECTION: ltr" which have been proposed two different methods for extracting this histogram. This feature shows edge and orientation information, and has proposed as a complement to commonly used local binary pattern. Then in several experiments were tested different combinations of features to obtain features that are appropriate for texture images description and enhance system performance. These properties are include, color and type of local surface. In some experiments has applied of used features in applications, except texture left; MARGIN: 0cm 0cm 0pt; unicode-bidi: embed; DIRECTION: ltr" align=left Keywords: Texture 0cm 0cm 0pt" dir=rtl
