Content base Image Retrival using Color Histogram and Global Features

Authors

  • Muqaddas Bin Tahir

Keywords:

image acquisition, image features, binary representation of image, image quantization, image histogram

Abstract

In the world we live in today we can safely say that the internet revolution, digital representation and transportation of data had offered efficient solution for information delivery. But these phenomenal developments brought their own concern and problems in area of searching, security, monitoring and use of information by qualified end users. In early days the information was generally obtained and processed in the form of text but nowadays people are aware of the truth that information can be obtained in the form of graphics, which are a more precise and a more inclusive illustration of information. In this paper a new technique is introduced for fast Content based Image Retrieval with the help of colors and global features. Image retrieval on the base of color histogram is a very useful and common technique but in some cases this technique is not reliable. In proposed technique some new things are added with the color histogram to make it more efficient and reliable for Content based image retrieval.

How to Cite

Muqaddas Bin Tahir. (2015). Content base Image Retrival using Color Histogram and Global Features. Global Journal of Computer Science and Technology, 15(F1), 23–30. Retrieved from https://computerresearch.org/index.php/computer/article/view/1214

Content base Image Retrival using Color Histogram and Global Features

Published

2015-01-15