Abstrait

Image Denoising and Estimation of its Boundary

Suraj Ramachandrappa

In thisage of digital technology, almost all processing is done using computer systems. The world around us is inherently analog and three dimensional. Interpreting this 3D data involves vast amounts of processing. Edge Detection & Boundary estimation is a method which enables us to obtain vital information about the actual physical 3D world from a 2D image. A 2D image is converted to grayscaleformat and fed to the Edge Detection and Boundary Estimation algorithm. This algorithm detects the regions with changes in light intensity and marks those regions. Since the changes in light intensity are due to the variations of physical parameters, we are, in effect, obtaining information about the 3D world. The counting algorithm smoothens the edges and counts the number of places at which there are physical parameter variations.