๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Segmentation of textured cell images based on frequency analysis

โœ Scribed by Wu, H.-S.; Fiel, M.I.; Schiano, T.D.; Ramer, M.; Burstein, D.; Gil, J.

Book ID
114443711
Publisher
The Institution of Engineering and Technology
Year
2011
Tongue
English
Weight
658 KB
Volume
5
Category
Article
ISSN
1751-9659

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Segmentation of textured images based on
Segmentation of textured images based on fractals and image filtering
โœ T. Kasparis; D. Charalampidis; M. Georgiopoulos; J. Rolland ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 490 KB

This paper describes a new approach to the segmentation of textured gray-scale images based on image pre-"ltering and fractal features. Traditionally, "lter bank decomposition methods consider the energy in each band as the textural feature, a parameter that is highly dependent on image intensity. I

Texture based segmentation of epithelial
Texture based segmentation of epithelial layer from oral histological images
โœ M. Muthu Rama Krishnan; Anirudh Choudhary; Chandan Chakraborty; Ajoy K. Ray; Ran ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 916 KB

The objective of this paper is to provide a texture based segmentation algorithm for better delineation of the epithelial layer from histological images in discriminating normal and oral sub-mucous fibrosis (OSF). As per literature and oral clinicians, it is established that the OSF initially origin