worldsvur.blogg.se - Comic life 3 cartoonify

For instance, using a Difference of Gaussians algo. Perform the bilateral filter in 1d along the gradient and then along the normal to the gradient.ĭetect the edges. You may want to separate the bilateral filter so that it's faster. Here are the steps:īilateral filtering to simplify/abstract the photo. I'd be happy to share some code, but the hundred-liners don't exactly fit smoothly in here. 8-way edge tracing can be really hard to bend your head around (choosing between on-pixel or between-pixel edges and how to latch onto edges). Other reading materials include Gonzalez & Woods' Digital Image Processing (seems to be an older edition) for segmentation and edge tracing.

Median Filtering Constant time (get the PDF) Note: I have an implementation of this in C# using Mono/SIMD to accelerate histogram coalescence, however it only seems better than the O( r) algorithm when the diameter exceeds ~60 pixels due to the comparable number of add/sub instructions (the break-even point), a C++ implementation is probably much better suited to harness SIMD.

Fast Median and Bilateral Filtering (get the PDF).

Once you get the idea of Huang's algorithm, implementing a box blur filter is a delicious piece of cake. Keep in mind that median and box blur filters can be implemented with linear time complexity w.r.t. These are fairly basic and all very easy to implement.

Composit blurred/median-filtered image with enhanced edges.

Generic edge enhancement on segmented image using edge detection such as Sobel kernels or 8-way edge tracing.

Color image segmentation using either small subcube or sphere in the RGB color cube.

Min filter (zeroth percentile) to enhance some types of edges.

Edit: Bilateral filtering should suit your needs even better.

Median or repeated box blur filter to obtain cartoonish color palette.