A multi-scale and multi-orientation image retrieval method based on rotation-invariant texture features

2011 ◽  
Vol 54 (4) ◽  
pp. 732-744 ◽  
Author(s):  
ZhenFeng Shao ◽  
DeRen Li ◽  
XianQiang Zhu
Keyword(s):  
Image Retrieval ◽  
Texture Features ◽  
Rotation Invariant ◽  
Retrieval Method ◽  
Multi Scale

A novel scale and rotation invariant texture image retrieval method using fuzzy logic classifier

2014 ◽  
Vol 40 (8) ◽  
pp. 154-162 ◽  
Author(s):  
Shailendrakumar M. Mukane ◽  
Sachin R. Gengaje ◽  
Dattatraya S. Bormane
Keyword(s):  
Fuzzy Logic ◽  
Image Retrieval ◽  
Texture Image ◽  
Rotation Invariant ◽  
Retrieval Method

A Shape-Based Two-Stage Product Image Retrieval Method

2012 ◽  
Vol 466-467 ◽  
pp. 1050-1054
Author(s):  
Shang Fu Gong ◽  
Juan Du
Keyword(s):  
Image Retrieval ◽  
Texture Features ◽  
Two Stage ◽  
Retrieval Method ◽  
Second Stage ◽  
Product Image ◽  
Feature Based ◽  
Large Product ◽  
Product Image Retrieval ◽  
Salient Edges

Product image retrieval using content of the image is valuable for E-commerce application. But both search efficiency and accuracy are challenging the implementation of content-based image retrieval in large product image database. We present a two-stage product image retrieval method, with fully consideration of individual features of product images. In the initial pruning stage, shape feature based on salient edges of product object is used to generate a moderate number of candidates; in the second stage, the proposed detail feature combined with color and texture features is used for fully retrieval. Experiments show that this two-stage retrieval method accelerates search process with a high accuracy.

A Lightweight Multi-scale Crossmodal Text-Image Retrieval Method In Remote Sensing

2021 ◽  
pp. 1-1
Author(s):  
Zhiqiang Yuan ◽  
Wenkai Zhang ◽  
Xuee Rong ◽  
Xuan Li ◽  
Jialiang Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Retrieval ◽  
Retrieval Method ◽  
Multi Scale
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