M-Band and Rotated M-Band Dual-Tree Complex Wavelet Transform for Texture Image Retrieval

2014 ◽  
pp. 775-784 ◽  
Author(s):  
K. Prasanthi Jasmine ◽  
P. Rajesh Kumar
Keyword(s):  
Wavelet Transform ◽  
Image Retrieval ◽  
Texture Image ◽  
Complex Wavelet Transform ◽  
Complex Wavelet

Color Image Retrieval Algorithm Based on Dual Tree Complex Wavelet Transform

2013 ◽  
Vol 427-429 ◽  
pp. 1761-1764
Author(s):  
Xiao Li Zhao ◽  
Shu Jun Yin
Keyword(s):  
Wavelet Transform ◽  
Image Retrieval ◽  
Color Image ◽  
Texture Features ◽  
Retrieval Algorithm ◽  
Complex Wavelet Transform ◽  
Invariant Moments ◽  
Frequency Components ◽  
Complex Wavelet ◽  
Form Feature

A color image retrieval algorithm was presented in order to retrieve image from massive images. This method firstly transformed image from RGB space to HSV space. V component of HSV space was decomposed into three levels by dual tree complex wavelet transform (DT-CWT) to extract high frequency components as texture features. Invariant moments of V component were extracted as shape features. Information of H component of HSV space was extracted as color features. Then three types of features were combined to form feature vector to judge similarity of images. Experiments show that this algorithm has not only high precision and recall but also low time consumption.

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