In the field of image processing, texture features and color are fundamental visual cue with complementary roles. They used in many applications a large variety areas such as quality control, content-based retrieval, remote sensing, industrial inspection, surface object recognition, medical analysis. For this purpose, number algorithms have been proposed for feature extraction. Some them dedica...

considering numerous problems related to the old textures, sustainable development canbe mentioned as the most efficient approach to avoid consequent shortcomings. the methodology adoptedin the present paper is of analytical–descriptive type. using the mentioned method, the data werecollected through the field and documentary studies. the statistical society of present paper includesspecialists...

functionality of marve seed gum (salvia macrosiphon boiss) on rheological properties and staling of baguette bread have been studied. three different concentrations of 0.1 %, 0.5% and 1% (w/w, flour basis) were applied and this hydrocolloid affected the quality of the stored bread to some extent. the effects of marve seed gum on the rheological properties of dough was also investigated instrume...

Texture is one of the important characteristics used in identifying objects. Texture analysis plays an important role in image analysis and pattern recognition. In this paper a new set of features obtained from the 1-D MRT is shown to be useful for texture analysis. Experiments performed on 30 samples of Brodatz texture images indicate that these features can be used for texture classification.

-Texture analysis is significant field in image processing and computer vision. Shape and texture has groovy correlation and texture can be defined by shape descriptor. Three individual approach Zernike moment, which is orthogonal shape signifier, Gabor features and Haralick features are utilized for texture analysis. Another approach is applied by aggregating all the features for texture analy...

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 tasks. The prospect of texture segmentation depends on the choice of the texture description method and the segmentation procedure. In this paper, color-texture descriptors are proposed to represent the texture c...

Texture analysis plays an important role in applications like automated pattern inspection, image and video compression, content-based image retrieval, remotesensing, medical imaging and document processing, to name a few. Texture Structure Analysis is the process of studying the structure present in the textures. This structure can be expressed in terms of perceived regularity. Our human visua...

Several researchers have investigated the role of texture as a basis for the recovery of surface orientation. Gibson 1 was the first to address the problem of recovering the orientation of a plane covered with textural elements. He assumed that the density (number of elements per unit area) of these elements is uniform. Under this assumption he observed that the density gradient in the image sp...