نتایج جستجو برای: timeworn texture

تعداد نتایج: 41453  

2015
Rasigiri Venkata Lakshmi Srinivasa Reddy Chandra Sekharaiah

The Applications of Pattern recognition like wood classification, stone and rock classification problems, the major usage techniques ate different texture classification techniques. Generally most of the problems used statistical approach for texture analysis and texture classification. Gray Level Co-occurrence Matrices (GLCM) approach is particularly applied in texture analysis and texture cla...

2008
Naeem Qaiser Mutawarra Hussain Amir Hussain Nadeem Qaiser

Use of a single technique for the extraction of diverse features in a texture image usually shows limited capabilities for texture description. Texture features extracted using different techniques can be merged in an attempt to enhance their texture description capability. This paper explores the fusion of optimized moment and Gabor energy texture features. The Fisher linear discriminant analy...

2007
S. Radhakrishnan

In this paper a combined statistical and structural approach has been employed for texture representation. A set of Texture Primitives has been suggested. These primitives are basically tested for the presence of texture by conducting a suitable statistical test called Nair’s test. The set of universal primitives are labeled as local descriptor and the frequency of occurrences of these primitiv...

Journal: :Pattern Recognition Letters 2002
Gyuhwan Oh Seungyong Lee

A regular texture contains a periodic arrangement of a determinable pattern. Motifs of a regular texture are the minimal parallelogrammic sub-regions that can reproduce the texture by tiling. A motif extracted from a regular texture can be used for texture reproduction, texture recognition, and texture compression. However, it is not simple to accurately capture a motif of a regular texture, as...

2010
Dong-Cheon Lee Toni Schenk

It is known that the human visual system, unsurpassed in its ability to reconstruct surfaces, employs different cues to solve this difficult task. The prevailing method in digital photogrammetry is stereopsis. However, texture may provide valuable information about the shape of surfaces. In this paper we employ Laws' method of texture energy transforms to extract texture information from digita...

Journal: :Izvestiâ Saratovskogo universiteta. Novaâ seriâ 2022

The article analyzes the poem by Nikolai Zabolotsky A City in Steppe, which was written poet after returning from exile 1946. unfolds before reader a grand panorama of Kazakh city Karaganda. appears as kind epic and even mythological that has replaced timeworn era. It is shown there are several metaphysical layers plot poem: along with description real Karaganda, biblical symbolism both Old New...

2012
Alan Bovik K. I. Kim Guoliang Fan Chi-Man Pun

-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...

2002
Yanxi Liu Yanghai Tsin

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...

2011
B. Sujatha M. Chandra Mohan

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...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید