Last Modified : Tuesday, April 30, 2024
In this article, I have explained two basic components which are fundamentals to know about how information is extracted from an image. My explanation is not going to be in technical language, so if you are new don’t worry you will understand it then also.
Two concepts that I have explained are Channels and Kernels.
Let's understand them using a simple example.
You want to order Hakka Noodles from the Food delivery website. How you will search for it? So Food is here Channel for us. If we take the same context with an image of dog, we are finding a dog into the image, that dog is our channel. In very simple words, Channel is the information that we are seeking in the image.
But we wanted Hakka Noodles, How will we reach there? We start filtering food, the very first filter will choose Chinese Food, after that filter Noodles from them, after that we will filter Noodles and choose Hakka Noodles. If we take the same context with an image of a dog, we want to identify it, we will use its nose, ears, tail, mouth as filters to identify that image is of a dog or not. In very simple words, Kernel is the filter that filters images and gives important and desired information.