IMAGE MINING TECHNIQUES: A LITERATURE SURVEY

Abstract

Nowadays, a large portion of information is in visual form; it is essential and certainly pleasing to search for images. Image mining has a variety of applications in various sectors like medical diagnosis, biology, remote sensing, space research, etc.Image mining is a class of analytical techniques that examine a large amount of image data. It has proved highly effective in addressing many important business problems. Comparison among different mining by similarity systems is particularly challenging owing to the great variety of methods implemented to represent likeness and the dependence that the results present of the used image set. This paper presents a survey on various image mining techniques.It also provides a improvements for future research.

Authors and Affiliations

Mahendra S. Makesar , Dr. Nitin A. Koli , Ratnashil N. Khobragade

Keywords

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  • EP ID EP109062
  • DOI -
  • Views 114
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How To Cite

Mahendra S. Makesar, Dr. Nitin A. Koli, Ratnashil N. Khobragade (2012). IMAGE MINING TECHNIQUES: A LITERATURE SURVEY. International Journal of Computer Science & Engineering Technology, 3(12), 582-585. https://europub.co.uk/articles/-A-109062