IMPROVED IMAGE SEARCHING USING USER INPUT IMAGE FUNDAMENTAL FEATURE TECHNIQUE

Authors

  • D. Saravanan Faculty of Operations & IT, IFHE University, IBS Hyderabad, India

Keywords:

Image processing, Image Retrieval, Image content, Pixels, Data Mining, Knowledge Extraction, Image Query, Image preprocessing

Abstract

Image processing plays a key role in every human’s life today. The use of images has widely increased due to many factors, but technology makes it very easy to upload images from any corner of the world. Information is exchanged via images easily and effectively and is an important mode of communication today. Searching for images on the web has its own advantages as well as disadvantages. The latest technique involves searching the content by using traditional text retrieval, and it never gives any guarantee to find the required information. For searching image content today most of the researchers spend time for creating various indexes to bring the effective result. This research paper brings one image searching technique which uses image feature based searching with the help of image fundamental feature. The experimental results also confirmed that the proposed approach can always retrieve intended targets even with poor selection of initial query points.

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Published

2017-06-25

How to Cite

D. Saravanan. (2017). IMPROVED IMAGE SEARCHING USING USER INPUT IMAGE FUNDAMENTAL FEATURE TECHNIQUE . Pakistan Journal of Biotechnology, 14(2), 233–237 . Retrieved from https://pjbt.org/index.php/pjbt/article/view/482

Issue

Section

Research Articles