Application of convolution in computer vision (like image processing)

                   Interrelations and interconnections of parameters                  -Vinish Soni, Sarvesh Wadi, Kaustubh Wakodkar, Yash Shamnani, Sameeran Zingre For analysing various electrical circuits there are many methods to analyse it. It is important to design such circuit which gives relationship between input and output. For this we can use Two-port network connection. Here the pairs present at left sides can be called as 1 port and the pair present at right side can be called as 2 port. Here there are 4 variables V 1 ,V 2, I 2 ,I 1 with the help of them so we will get six possible equations. These equation represents dependent variable in terms of independent variable. The coefficient of independent variables are called as parameters.          Two port network Pa...

  Application of convolution in computer vision(like    image processing) -, Vinish Soni, Sarvesh Wadi , Kaustubh Wakodkar   , Yash Shamnani , Sameeran zingre In general when we are studying about image processing we must know some basic definition like kernel,convolution etc.which is used in image processing. Starting with kernel. Kernel :   A convolution lets you do many things, like calculate derivatives, detect edges, apply blurs, etc. A very wide variety of things. And all of this is done with a "convolution kernel". The convolution kernel is a small matrix. This matrix has numbers in each cell and has an anchor point This kernel slides over an image and does its thing. The "anchor" point is used to determine the position of the kernel with respect to the image . The anchor point is generally the center point . Different image processing has different kernels for ex: Convolution in image processing : In image processing con...