• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

NPFAM: Non-Proliferation Fuzzy ARTMAP for Image Classification in Content Based Image Retrieval

Vol. 9, No.7, July 31, 2015
10.3837/tiis.2015.07.020, Download Paper (Free):

Abstract

A Content-based Image Retrieval (CBIR) system employs visual features rather than manual annotation of images. The selection of optimal features used in classification of images plays a key role in its performance. Category proliferation problem has a huge impact on performance of systems using Fuzzy Artmap (FAM) classifier. The proposed CBIR system uses a modified version of FAM called Non-Proliferation Fuzzy Artmap (NPFAM). This is developed by introducing significant changes in the learning process and the modified algorithm is evaluated by extensive experiments. Results have proved that NPFAM classifier generates a more compact rule set and performs better than FAM classifier. Accordingly, the CBIR system with NPFAM classifier yields good retrieval.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Anitha K and Chilambuchelvan A, "NPFAM: Non-Proliferation Fuzzy ARTMAP for Image Classification in Content Based Image Retrieval," KSII Transactions on Internet and Information Systems, vol. 9, no. 7, pp. 2683-2702, 2015. DOI: 10.3837/tiis.2015.07.020

[ACM Style]
K, A. and A, C. 2015. NPFAM: Non-Proliferation Fuzzy ARTMAP for Image Classification in Content Based Image Retrieval. KSII Transactions on Internet and Information Systems, 9, 7, (2015), 2683-2702. DOI: 10.3837/tiis.2015.07.020