Cloud Classification using K-Means Clustering and Content based Image Retrieval Technique

Rudrappa, Gujanatti; Vijapur, Nataraj

doi:10.1109/iccsp48568.2020.9182211

Cited by 7 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rudrappa et al [55] showed a system that uses groundbased imagery of clouds in the sky to determine if they are low, middle, or high-level clouds. For cloud classification, they use K-means clustering and Content-Based Image Retrieval (CBIR) approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

An analysis of content-based image retrieval

Koyuncu

Dixit²,

Koyuncu

2021

International Advanced Researches and Engineering Journal

View full text Add to dashboard Cite

Nowadays, working on digital images is gaining much popularity in multimedia systems, due to the rapid increase in the utilization of large image databases. Thus, the Content-Based Image Retrieval (CBIR) method has become the most valuable method for these databases. This study mainly focuses on content-based image retrieval; which uses image features like color, shape, texture, etc. by searching the user query image from a large image database based on user request. CBIR is the most widely used technique as its searching capability is faster than the other traditional methods, and it works well in retrieving images automatically. It is also a big alternative approach to traditional methods. The CBIR techniques are used in many applications like surveillance detection, crime avoidance, fingerprint identification, E-library, medical, historical monument and biodiversity information systems, and many more. A total of 38 CBIR articles were comparatively analyzed.

show abstract

Section: Literature Reviewmentioning

confidence: 99%