An Effective Classification Algorithm for Texture ResistingRotating and Scaling
碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 98 === In this paper an effective classification algorithm based on significant region and Gabor multi-frequency domain was proposed to overcome the identification problems of the texture image caused by the rotating and scaling. On rotation invariant, Gabor wavelets a...
Main Authors: | Yu-tin Chen, 陳昱廷 |
---|---|
Other Authors: | Chih-chia Yao |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/68655989804684886686 |
Similar Items
-
An Object-based Classification Method for Rotating and Scaling Texture
by: Ya-yun Yu, et al.
Published: (2012) -
A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification
by: Qiqi Kou, et al.
Published: (2018-01-01) -
Fusing DTCWT and LBP Based Features for Rotation, Illumination and Scale Invariant Texture Classification
by: Peng Yang, et al.
Published: (2018-01-01) -
Efficient Rotation Algorithms for Texture Evolution
by: Esty, Mark W.
Published: (2009) -
Ellipsoid support vector machines for rotational texture classification
by: Kang Lee, et al.
Published: (2008)