A texture classification framework.

<div><p>Texture is a significant component used for several applications in content-based image retrieval. Any texture classification method aims to map an anonymously textured input image to one of the existing texture classes. Extensive ranges of methods for labeling image texture were...

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Bibliographic Details
Main Author:	Shamik Tiwari (4490185) (author)
Other Authors:	Akhilesh Kumar Sharma (10288628) (author), Izzatdin Abdul Aziz (17782422) (author), Deepak Gupta (55651) (author), Antima Jain (20542407) (author), Hairulnizam Mahdin (4993616) (author), Senthil Athithan (20542410) (author), Rahmat Hidayat (3057192) (author)
Published:	2025
Subjects:	Biotechnology Sociology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified significant component used prominent degradation factors forward neural network based handcrafted features based fractal analysis medical image analysis based image retrieval xlink "> texture existing texture classes based texture features based fractal texture labeling image texture include image classification texture generation texture classification image noise various degradations statistical moments statistical moment results show proposed earlier open area natural textures multilayer feed extensive ranges examining textures erratic patterns
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A texture classification framework.

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