Relative Examination of Texture Feature Extraction Techniques in Image Retrieval Systems by Employing Neural Network: An Experimental Review

2020 ◽  
pp. 337-349
Author(s):  
Shefali Dhingra ◽  
Poonam Bansal
Keyword(s):  
Neural Network ◽  
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 Multipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU Acceleration

2020 ◽  
Vol 16 (3) ◽  
pp. 280-294 ◽  
Author(s):  
Toto Haryanto ◽  
Adib Pratama ◽  
Heru Suhartanto ◽  
Aniati Murni ◽  
Kusmardi Kusmardi ◽  
...  
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Deep Neural Network ◽  
Texture Feature ◽  
Gpu Acceleration ◽  
Texture Feature Extraction ◽  
Histopathology Images

Deep learning neural network for texture feature extraction in oral cancer: enhanced loss function

2020 ◽  
Vol 79 (37-38) ◽  
pp. 27867-27890 ◽  
Author(s):  
Bishal Bhandari ◽  
Abeer Alsadoon ◽  
P. W. C. Prasad ◽  
Salma Abdullah ◽  
Sami Haddad
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Deep Learning ◽  
Oral Cancer ◽  
Loss Function ◽  
Texture Feature ◽  
Texture Feature Extraction ◽  
Deep Learning Neural Network

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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