"Local Derivative Patterns and their Magnitudes for Content Based Image" by P. V. N. Reddy and K. Satya Prasad

International Journal of Computer Science and Informatics

Article Title

Local Derivative Patterns and their Magnitudes for Content Based Image Retrieval

Authors

P. V. N. Reddy, Deptt. of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, IndiaFollow
K. Satya Prasad, Deptt. of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, IndiaFollow

Abstract

This paper presents a new image indexing and retrieval algorithm by considering the magnitudes of the local derivative patterns (LDPs). LDP extract the high-order local information by encoding various distinctive spatial relationships contained in a given local region. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Corel 1000 database (DB1), and MIT VisTex database (DB2). The results after being investigated shows a significant improvement in terms of their evaluation measures as compared to LBP, LDP and other existing transform domain techniques.

Recommended Citation

Reddy, P. V. N. and Prasad, K. Satya (2012) "Local Derivative Patterns and their Magnitudes for Content Based Image Retrieval," International Journal of Computer Science and Informatics: Vol. 1: Iss. 3, Article 4.
DOI: 10.47893/IJCSI.2012.1030
Available at: https://www.interscience.in/ijcsi/vol1/iss3/4

DOI

10.47893/IJCSI.2012.1030

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