translated to hsv V-layer is corrected by scaling values from (min,max) range to (0,255) range assembled back to rgb correcting R,G,B layers of result by same idea as the V-layer on second step there is no aforge.net code, because it processed by php prototype code, but afaik there is no any problem to do such … Read more
Your data look like a two-dimensional parametric plot of (x,y) as a function of some underlying parameter t. As such, it may be possible to do a least-squares fit of x(t) and y(t) if you can come up with a reasonable model for them. Your data appear to describe a limacon.
In HSV space, the red color wraps around 180. So you need the H values to be both in [0,10] and [170, 180]. Try this: #include <opencv2\opencv.hpp> using namespace cv; int main() { Mat3b bgr = imread(“path_to_image”); Mat3b hsv; cvtColor(bgr, hsv, COLOR_BGR2HSV); Mat1b mask1, mask2; inRange(hsv, Scalar(0, 70, 50), Scalar(10, 255, 255), mask1); inRange(hsv, Scalar(170, … Read more
ImageMagick can do it, although it’s a bit convoluted. One way is: convert img1 img2 -fx “(((255*u)&(255*(1-v)))|((255*(1-u))&(255*v)))/255” img_out (img1,img2,img_out are the two input and single output file names respectively). Explanation It’s a bit ugly (I’m sure someone with more ImageMagick-fu than me could clean it up but it works like this: -fx “xxx” basically says … Read more
Here’s a quick sample but it is slow take around 4-6 seconds, but it does exactly what you looking for and i know this post is old but if anyone else visiting this post recently you can look this thing you need .NET AForge namespace or framework google it and install it include AForge name … Read more
Here’s code making use of Pillow and Scipy’s cluster package. For simplicity I’ve hardcoded the filename as “image.jpg”. Resizing the image is for speed: if you don’t mind the wait, comment out the resize call. When run on this sample image, it usually says the dominant colour is #d8c865, which corresponds roughly to the bright … Read more
Did you check the UCI Machine Learning repository? http://archive.ics.uci.edu/ml/datasets.html What about this one? http://archive.ics.uci.edu/ml/datasets/UJI+Pen+Characters This is what you may be looking for: https://www.nist.gov/itl/iad/image-group/emnist-dataset
According to this answer https://stackoverflow.com/a/45956247/7683041, try: img_float32 = np.float32(needed_multi_channel_img) lab_image = cv.cvtColor(img_float32, cv.COLOR_RGB2HSV)
You can further reduce quality of PNG by using posterization: https://github.com/pornel/mediancut-posterizer (Mac GUI) This is a lossy operation that allows zlib to compress better. Convert image to PNG8 using pngquant. It reduces images to 256 colors, so quality depends on the type of image, but pngquant makes very good palettes, so you might be surprised … Read more