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Comprehensive Review of Content based Image Retrieval

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Shital Jadhav, Sonal Patil, Hiralal Solunke

Shital Jadhav, Sonal Patil and Hiralal Solunke. Comprehensive Review of Content based Image Retrieval. International Journal of Computer Applications 183(25):37-40, September 2021. BibTeX

	author = {Shital Jadhav and Sonal Patil and Hiralal Solunke},
	title = {Comprehensive Review of Content based Image Retrieval},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2021},
	volume = {183},
	number = {25},
	month = {Sep},
	year = {2021},
	issn = {0975-8887},
	pages = {37-40},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2021921633},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Since the last decade, Content-Based Image Retrieval was a most exciting and fastest growing research area. The computational complexity and theretrieval accuracy are the main problems that CBIR systems have to avoid. To avoid these problems, this paper proposes a new content-based image retrieval method that uses color, texture and edge direction feature . Color features are the fundamental characteristics of the content of images. Color feature is one of the most widely used features in low level feature. Texture provides the measures of properties such as smoothness, coarseness, and regularity. The edge of the image is another important feature that represented the content of the image. Using color,texture and edge direction feature to describe the image and use them for image retrieval is more accurate than using one of them.


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Content-Based Image Retrieval (CBIR), Color Moment, Texture, Local Binary Pattern(LBP),Edge Histogram