Content Based Image Retrieval using Euclidean Distance Measure

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Anil Mishra

Abstract

In the rapid growing use of web world, users are using texts, audios, videos and images in huge amount. At the same time, need of fast retrieval is basic requirement of searching. The summarized content-based image retrieval (CBIR) wants competent mining of low level features like color, texture and shapes for indexing and speedy similar question picture recovery. Features are extracted from picture in the form of pixels-value. In this paper we examine the method of competent mining of color feature of picture. In our process, for the competent mining of picture, Euclidean distance measure technique is used. The projected process is experienced by means of Corel dataset.

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How to Cite
, A. M. (2018). Content Based Image Retrieval using Euclidean Distance Measure. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 34–37. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1463
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