The increasing increase of picture databases in practically every industry, including medical science, multimedia, geographic information systems, photography, journalism, and so on, necessitates the development of an effective and efficient approach for image processing. The approach of content based image retrieval is used to recover images based on their content, such as texture, colour, shape, and spatial layout. However, because to the semantic mismatch between the users high level notions and the images low level properties, retrieving the image is extremely challenging. Many concepts were presented in effort to close this gap. Furthermore, images can be stored and extracted depending on a variety of properties, one of which being texture. Content based Image Retrieval has become a popular study area as a result of the growth of video and image data in digital form. Digital data, such as criminal photographs, fingerprints, and scene photographs, has been widely used in forensic sciences. As a result, arranging such enormous amounts of visual data, such as how to quickly find an interesting image, becomes a major difficulty. There is a pressing need to develop an effective method for locating photographs. An image must be represented with particular features in order to be found. Three significant visual qualities of an image are colour, texture, and shape. The search for images utilising colour, texture, and shape attributes has gotten a lot of press. Preeti Sondhi | Umar Bashir "A Survey on Content Based Image Retrieval System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43777.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/43777/a-survey-on-content-based-image-retrieval-system/preeti-sondhi
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 5, July-August 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD43777 | Volume – 5 | Issue – 5 | Jul-Aug 2021
Page 66
A Survey on Content Based Image Retrieval System
Preeti Sondhi
1
, Umar Bashir
2
1Assistant Professor, 2M Tech Scholar,
1,2Universal Group of Institutions, Lalru, Punjab, India
ABSTRACT
The increasing increase of picture databases in practically every
industry, including medical science, multimedia, geographic
information systems, photography, journalism, and so on,
necessitates the development of an effective and efficient approach
for image processing. The approach of content-based image retrieval
is used to recover images based on their content, such as texture,
colour, shape, and spatial layout. However, because to the semantic
mismatch between the user's high-level notions and the image's low-
level properties, retrieving the image is extremely challenging. Many
concepts were presented in effort to close this gap. Furthermore,
images can be stored and extracted depending on a variety of
properties, one of which being texture. Content-based Image
Retrieval has become a popular study area as a result of the growth of
video and image data in digital form. Digital data, such as criminal
photographs, fingerprints, and scene photographs, has been widely
used in forensic sciences. As a result, arranging such enormous
amounts of visual data, such as how to quickly find an interesting
image, becomes a major difficulty. There is a pressing need to
develop an effective method for locating photographs. An image
must be represented with particular features in order to be found.
Three significant visual qualities of an image are colour, texture, and
shape. The search for images utilising colour, texture, and shape
attributes has gotten a lot of press.
KEYWORDS: CBIR, Feature Extraction, Fuzzy Logic, Texture and
Pattern Cla