Makkapati, Vishnu and Mahapatra, Pravas (2006) Contour Encoding Based on Extraction of Key Points Using Wavelet Transform. In: International Conference on Pattern Recognition, 2006. ICPR 2006, 20-24 August, Hong Kong.
In many situations it is convenient to represent pictorial data in the form of contours. It may become necessary to compress such contour data for efficient storage and transmission. We present here a technique for achieving very high levels of compression of 2-D contours. The goal here is to represent each contour using a discrete set of representative points known as key points. A novel method of extracting the key points using wavelet transform is presented. The scheme exploits the properties of the high frequency coefficients to identify these points. Local peaks in the magnitude plot of high frequency coefficients are designated as key points and are identified using in efficient algorithm. The performance of the scheme is evaluated using multiple actual contours derived from weather radar reflectivity fields.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Contour encoding;Discrete wavelet transform;Polygonal approximation;Local maxima detection;Key point extraction|
|Department/Centre:||Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)|
|Date Deposited:||30 Aug 2006|
|Last Modified:||19 Sep 2010 04:18|
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