Experimental analogy of different texture feature extraction techniques in image retrieval systems

2020 ◽  
Vol 79 (37-38) ◽  
pp. 27391-27406
Author(s):  
Shefali Dhingra ◽  
Poonam Bansal
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Texture Feature ◽  
Extraction Techniques ◽  
Texture Feature Extraction ◽  
Retrieval Systems

Texture feature extraction method for scale and rotation invariant image retrieval

2012 ◽  
Vol 48 (11) ◽  
pp. 626 ◽  
Author(s):  
M.H. Rahman ◽  
M.R. Pickering ◽  
M.R. Frater ◽  
D. Kerr
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Extraction Method ◽  
Texture Feature ◽  
Texture Feature Extraction ◽  
Rotation Invariant ◽  
Feature Extraction Method

scholarly journals Using Color and Texture Feature Extraction Technique to Retrieve Image

2019 ◽  
Vol 8 (11S) ◽  
pp. 915-917
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Texture Feature ◽  
Color Images ◽  
Color Histogram ◽  
Gray Level ◽  
Texture Feature Extraction ◽  
Color Feature ◽  
Occurrence Matrix ◽  
Feature Extraction Technique

This paper proposes a content image retrieval using the texture and the color feature of the images. Although for extraction of texture feature, the “gray level co-occurrence matrix (GLCM) algorithm” is used and for extracting color feature the color histogram is used. The presented system is tested on the WANG database that contains a thousand color images with ten different classes by the help of three various type of distances

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