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Khan, Imtiaz A.. Analysis of multi-features combination of unsupervised content based image retrieval with different degrees of accuracy. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Analysis of multi-features combination of unsupervised content based image retrieval with different degrees of accuracy
Name: Zakariya, S. M.
Organization :
Aligarh Muslim University. Electrical Engineering Section University Polytechnic
Email :
s.zakariya@gmail.com
Name: Khan, Imtiaz A.
Organization :
Aligarh Muslim University. Electrical Engineering Section University Polytechnic
Email :
imtiaz212@rediffimail.com
keyword:
Unsupervised learning
LCSH:
Image processing
-- Digital techniques
LCSH:
Artificial intelligence
Abstract:
The method of identifying related images in an
image database is known as image retrieval. Text-based and
content-based data processing are the two main forms of image
retrieval processes. The visual characteristics of an image, such as
color, texture, shape, and spatial design, are used in the content-
based approach of image retrieval. In unsupervised mode, the
images are retrieved using a cluster-based graph partitioning
algorithm. The efficiency of different content based image
retrieval systems is contrasted in this paper by fusing multiple
image characteristics. The creation of four versions resulted from
the integration of several features. Compute the union of all four
models by normalizing the value between 0 and 1. The data comes
from the COREL image database, which includes 1000 images of
the same resolution. According to this article, images can be best
recovered using three model-based features rather than two
features. The accuracy of the union is thought to be superior.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2024-06-12
Issued:
2024-06-12
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT 2021) (pp.249-254). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.020147 วินาที
Zakariya, S. M.
| Title | Contributor | Type |
|---|---|---|
| Analysis of multi-features combination of unsupervised content based image retrieval with different degrees of accuracy
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Zakariya, S. M.;Khan, Imtiaz A. | บทความ/Article |
Khan, Imtiaz A.
| Title | Contributor | Type |
|---|---|---|
| Analysis of multi-features combination of unsupervised content based image retrieval with different degrees of accuracy
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Zakariya, S. M.;Khan, Imtiaz A. | บทความ/Article |