-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...

In this work, we demonstrate the promise and perils of texture analysis and texture synthesis applied to near-regular patterns. We propose a novel view of texture as statistical departures from regular patterns. We shall show that a true understanding of near-regular texture structures based on their translation symmetries can enhance existing methods of texture synthesis. Our texture synthesis...

Texture is an important spatial feature, useful for identifying objects or regions of interest in an image. One of the most popular statistical methods used to measure the textural information of images is the grey-level co-occurrence matrix (GLCM). The other statistical approach to texture analysis is the texture spectrum approach. The present paper combines the fuzzy texture unit and GLCM app...

let r be a commutative ring with non-zero identity and m be a unital r-module. then the concept of quasi-secondary submodules of m is introduced and some results concerning this class of submodules is obtained

Abstract Precision machining of SiCp/Al composites is a challenge due to the existence reinforcement phase in this material. This work focuses on study textured tools’ cutting performance composite, as well comparison with non-textured tools. The results show that micro-pit tool can reduce force by 5–13% and length 9–39%. Compared tools, stability tools better. It found surface roughness smalle...

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...