Abstract
EDGE DETECTION FOR FOOTPRINT USING DISCRETE WAVELET TRANSFORM
Riya Porel, Sharanya Mazumdar, Trishita Mukherjee, Varun Kumar Sah, Prof. Subhojit Malik and *Prof. Samir Kumar Bandyopadhyay
ABSTRACT
Image processing and analysis based on the Continuous or Discrete Image Transforms are classic techniques. Amongst these, Discrete Image Transform is widely used in image filtering, data description, etc. Also, the Wavelet Theorem makes up very popular methods of image processing, de-noising and compression. Considering that the Haar functions are the simplest wavelets, these forms are used in many methods of Discrete Image Transforms and processing. In this article, it has been shown how the proper implementation of Discrete Wavelet Transform using Haar functions can be beneficial in extracting the edges of a processed sample footprint thus required in a Footprint Analysis Program for crime detection.
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