Shouldn't the value received by adding all the numbers (after multiplication with image matrix and kernel matrix) be put at the center of the matrix i.e., at the position where '5' is there
keras.layers.Conv2D(32, (3, 3)) uses 32 filters, right? keras.layers.Conv2D(256, (3, 3)) even uses 256 filters that are all the same? How do they look like? are they structured like this: [[ 1 0 1 ] [ 0 1 0 ] [ 1 0 1 ]] how can i choose different filters. why use many filters in the first place? isnt one enough? this is pretty cryptic to me and i dont find any pages on the web on this topic
Hello, I have an 11×11 image having in its center a 5×5 square, the image it's noiseless and I don't know how to compute the gradient of the image function given by the compass operator for this image. If I remember correctly, I should use a derivative, but I don't know exactly what and how can I use it. Can you please help me?
I am using X as a filter that is 1 for X and 0 for other pixels. My filter is a 5 by 5 filter. My image is also an X but my output is coming only a circle at the center of the image. I am confused why? please can you help?
Respected Sir, Thanks for this video with a detailed explanation. Now, can you make a video on the Cross-Correlation formula? And also explain in it how it works?
sorry can i ask you something, related to this video, but no so related actualy ahahaha I use Quantum GIS for process my image, i want to use majority filtering, but there is a problem, they want me to choose a square or a circle for the choose mode (one of the paramter, you can check all the parameter here: www.saga-gis.org/saga_tool_doc/2.2.0/grid_filter_6.html) what i want to ask is, what is search mode? how circle work and square either I think this tool use convolution thanks
I regret to tell you this that I find myself totally flung on this one. I'm really not sure. I tought this topic at undergraduate level once and never got a chance to bump into it again :)