Moments of pixel distribution of BMP image for CBIR

  • Authors:
  • N. S. T. Sai;R. C. Patil

  • Affiliations:
  • Tech Mahindra Limited, Mumbai, India;NMIMS University, MPSTME, Mumbai, India

  • Venue:
  • Proceedings of the International Conference and Workshop on Emerging Trends in Technology
  • Year:
  • 2010

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Abstract

Rapid progress of multimedia and computing application has brought explosive growth in digital images in computer systems and in networks. Similarity matching is one of the important tasks in Content Based Image Retrieval (CBIR). Similarity matching requires distance computation of feature vectors for each candidate image in image database. Conventional algorithms based on exhaustive search are highly time consuming and inefficient. With rapid increase in database size, there is a growing need of a fast and efficient retrieval system. This paper describes a novel & effective approach to Content Based Image Retrieval (CBIR) that represent each image in database by a vector of feature values called "Moments of Pixel Distribution of BMP Image for CBIR". Here we propose a simple and effective approach that can be easily implemented in a programming language. In this technique we are tacking first, second and third order moment of pixel distribution of BMP Image. We obtain compact feature vector of size 36 that create image signature in term of both texture & color. We use simple Euclidean distance to compute the similarity measures of images for Content Based Image Retrieval application. This technique gives acceptable results in a simple and fast way.