Dear开发者_Go百科 all, I would like to do a convolution using a 35 x 35 kernel. Any suggestion? or any method already in opencv i can use? Because now the cvfilter2d can only support until 10 x 10 ker
I\'m using Mathematica 7. I have an interpolated function, here\'s an example: pressures = WeatherData[\"Chicago\", \"Pressure\", {2010, 8}] //
I\'m using a convolution matrix for sharpness in PHP GD and I want to change the开发者_StackOverflow sharpness \"level\".
I do not und开发者_运维问答erstand what a convolution kernel is and how I would apply a convolution matrix topixels in an image (I am talking about doing a Gaussian Blur operation on an image).
I\'m iterating over a 3 dimensional array (which is an image with 3 values for each pixel) to apply a 3x3 filter to each pixel as follows:
My Professor found out this interesting experiment of 3D Linearly separable Kernel Convolution using SSE and OpenMP, and gave the task to me to benchmark the statistics on our system. The author claim
I know this isn\'t very relevant to programming, but I need to know how a convolution mat开发者_JS百科rix works for a PHP GD function. I\'ve searched a lot on Google, but can\'t find anything that exp
I\'d like to improve the performance of convolution using python, and was hoping for some insight on how to best go about improving performance.
加载中,请稍侯......