Level = graythresh(I) % Compute an appropriate thresholdīW = im2bw(I, level) % Convert grayscale to binaryĪnd here is what the original image and result BW look like:įor an RGB image input, just replace ind2gray with rgb2gray in the above code. I = ind2gray(X, map) % Convert indexed to grayscale So the thing is, camera will be mounted on the base of robotic arm. Here is how I would accomplish what you are doing in your example: load trees % Load the image data How to convert 2D (x,y) coordinates to 3D (x,y,z) coordinates using MATLAB Ask Question Asked 4 years, 11 months ago Modified 4 years, 10 months ago Viewed 2k times 0 I am trying to automate an robotic arm using MATLAB. I suggest the function graythresh, which will compute a threshold to plug into im2bw (or the newer imbinarize).
Data Types: single double int8 int16 int32 uint8 uint16 uint32. To produce a binary image from an RGB image, first convert the image to a grayscale image using im2gray. Next, you need to determine a threshold to use to convert the grayscale image to a binary image. imbinarize interprets an RGB image as a volumetric grayscale image and does not binarize each channel separately. For RGB images the function rgb2gray would do the same. The sample built-in image trees.mat that you load in your example is an indexed image, and you should therefore use the function ind2gray to first convert it to a grayscale intensity image. Your first problem is that you are confusing indexed images (which have a colormap map) and RGB images (which don't).
