Application of Image Retrieval Techniques to Understand Evolving Weather |
Author(s): |
| Konda Venkata Sasidhar , Bapatla Engineering College; T. Krishna Chaitanya, Bapatla Engineering College |
Keywords: |
| Image retrieval, Tropical cyclones, Histogram, Cloud intensity, Euclidian distance |
Abstract |
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Multispectral satellite images provide valuable information to understand the evolution of various weather systems such as tropical cyclones, shifting of intra tropical convergence zone, moments of various troughs etc., accurate prediction and estimation will save live and property. This work will deal with the development of an application which will enable users to search an image from database using either gray level, texture and shape features for meteorological satellite image retrieval .Gray level feature is extracted using histogram method. The Texture feature is extracted using gray level co-occurrence method and wavelet approach. The shape feature vector is extracted using morphological operations. The similarity between query image and database images is calculated using Euclidian distance. The performance of the system is evaluated using precision |
Other Details |
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Paper ID: IJSRDV2I7239 Published in: Volume : 2, Issue : 7 Publication Date: 01/10/2014 Page(s): 570-573 |
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