원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.2
2016.02
pp.71-78
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Texture classification is important step in image processing and computer vision applications. The proposed method offers efficient way to classify the invariant texture using discrete shearlet transform and fuzzy logic. The texture features of an image are represented using shearlet energy features and shearlet co-occurrence features. These features are obtained from block based energy form of shearlet decomposed image using two levels of discrete shearlet transform with two directions and by varying the block size. Finally, the obtained parameters are used to classify the texture in an image using fuzzy logic classifier.
목차
Abstract
1. International
2. Related Work
2.1. Scaling Invariant Texture Classification Using Fuzzy
2.2. Rotational Invariant Fuzzy Roughness Feature for Texture Classification
2.3. Wavelet Transform in Image Region
3. Overview the System
3.1. Extracting Sub-band of an Image
3.2. Texton Co-Occurrence Matrix
3.3. Discrete Shearlet Transform
3.4. Transforming Image into Principle Component Analysis
3.5. Linear Discriminant Analysis
4. Result Analysis
5. Conclusion and Future Work
6. Acknowledgements
References
1. International
2. Related Work
2.1. Scaling Invariant Texture Classification Using Fuzzy
2.2. Rotational Invariant Fuzzy Roughness Feature for Texture Classification
2.3. Wavelet Transform in Image Region
3. Overview the System
3.1. Extracting Sub-band of an Image
3.2. Texton Co-Occurrence Matrix
3.3. Discrete Shearlet Transform
3.4. Transforming Image into Principle Component Analysis
3.5. Linear Discriminant Analysis
4. Result Analysis
5. Conclusion and Future Work
6. Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보