Image Mining using ML

Image Mining using ML

Hitesh Giri, Priyam Raj

Students, Department of Computer Science and Engineering Galgotias University, G.B. Nagar, U.P, India

hitesh.21scse1010681@galgotiasuniversity.edu.in1, priyam.21scse1010861@galgotiasuniversity.edu.in

ABSTRACT:

The current generation of research scholars is highly motivated to conduct data mining-related studies worldwide. In particular, Mining Image data is one of the most important components of the current situation since it is required for every part of the system, including the Web for publication, hospitals for surgery, businesses for marketing, and engineering for construction. A more objective method of retrieval based on similarity defined in terms of retrieved features is provided by Content-Based Image Retrieval (CBIR), the second component of the image mining system. Using only the query image's features is a disadvantage of CBIR. Thus, image retrieval based on optimum clusters is a novel technique developed for Utilizing similar information to its fullest potential will improve user interaction with picture retrieval systems. The process of creating the index involves using compact feature vectors, which reflect typical color distributions, to describe the photos based on their color properties.

Keywords: Machine Learning, pre-processing, Image Mining, detection.