A novel fuzzy co-occurrence matrix for texture feature extraction
Texture analysis is one of the important steps in many computer vision applications. One of the important parts in texture analysis is texture classification. This classification is not an easy problem since texture can be non-uniform due to many reasons, e.g., rotation, scale, and etc. To help in t...
Saved in:
Main Authors: | Yutthana Munklang, Sansanee Auephanwiriyakul, Nipon Theera-Umpon |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84880735297&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52439 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
A novel fuzzy co-occurrence matrix for texture feature extraction
by: Yutthana Munklang, et al.
Published: (2018) -
Synthetic aperture radar (Sar) automatic target recognition (atr) using fuzzy co-occurrence matrix texture features
by: Sansanee Auephanwiriyakul, et al.
Published: (2018) -
A novel fuzzy co-occurrence matrix for texture feature extraction
by: Munklang Y., et al.
Published: (2014) -
Synthetic aperture radar (Sar) automatic target recognition (atr) using fuzzy co-occurrence matrix texture features
by: Sansanee Auephanwiriyakul, et al.
Published: (2018) -
Examination of mammogram image classification using fuzzy co-occurrence matrix
by: Y. Munklang, et al.
Published: (2018)