How to find number of Pixel green colour image by using webcamera

7 visualizaciones (últimos 30 días)
clc
clear
clear all
images= []
webcamlist()
cam= webcam(2)
preview(cam)
pause(2);
images= snapshot(cam)
imshow(images)
r_channel= images(:,:,1);
g_channel= images(:,:,2);
b_channel= images(:,:,3);
images(:,:,1) =0;
images(:,:,3) = 0;
image(images);
mask= g_channel > 100, b_channel > 800, r_channel < 800, b_channel < 0, r_channel < 0;
numBlackPixels = sum(~mask(:))
gr_ratio = double(g_channel)./double(r_channel);
gb_ratio = double(g_channel)./double(b_channel);
rb_ratio = double(r_channel)./double(b_channel);
% gr_ratio(isnan(g_ratio))=0;
% grayImage = rgb2gray(image);
% binaryImage = grayImage > 20;
% binaryImage = bwareaopen(binaryImage, 50);
% binaryImage = imfill(binaryImage, 'holes');
% grayImage(~binaryImage) = 0;
falseMatrix= zeros(7,7);
targetMatrix= ones(7,7);
checkMatrix= ones(7,7);
fprintf('mask has %d black pixels.\n', numBlackPixels);
if targetMatrix == checkMatrix
% cam = camStop;
return
end
  2 comentarios
DGM
DGM el 13 de Oct. de 2021
Editada: DGM el 13 de Oct. de 2021
What exactly are you trying to do?
This
mask = g_channel > 100, b_channel > 800, r_channel < 800, b_channel < 0, r_channel < 0;
Is the same as this
mask = g_channel > 100, % only this part is assigned to mask
b_channel > 800, % this does nothing
r_channel < 800, % this does nothing
b_channel < 0, % this does nothing
r_channel < 0; % this does nothing
which, other than dumping a bunch of unused garbage to console, does the same as this:
mask = g_channel > 100;
It should stand to reason that not all colors described by this mask are green (e.g. [255 255 255]).
One might expect that this is a set of upper and lower thresholds for each color channel being applied, but the values and relations are nonsense for what I'm assuming is a uint8 image.
mask = g_channel > 100 & b_channel > 800 & r_channel < 800 & b_channel < 0 & r_channel < 0;
Why test that B and R are above/below 800, when they won't be above 255? How would B or R ever be less than zero?
Since you're asking how to count "green pixels", it's up to you to define the limits of what constitutes "green".

Iniciar sesión para comentar.

Respuesta aceptada

Image Analyst
Image Analyst el 13 de Oct. de 2021
Use the Color Threshold app on the Apps tab of the tool ribbon to define "green". Full demo is attached.
  4 comentarios
Image Analyst
Image Analyst el 27 de Oct. de 2021
@Iszuzuldin amirull bin mohd janudin, certainly. To get yellow...
  1. Like I said, run the Color Thresholder app on the Apps tab of the tool ribbon. Did you try this?
  2. Choose HSV color space.
  3. Adjust the hue arrows to select only yellow.
  4. Adjust the Saturation thresholds to be about from 0.25 to 1.
  5. Click the Export Function button to get the code that you can call from your main code.

Iniciar sesión para comentar.

Más respuestas (1)

yanqi liu
yanqi liu el 14 de Oct. de 2021
sir,may be you should upload your image file to develop some function

Categorías

Más información sobre Image Processing and Computer Vision en Help Center y File Exchange.

Productos


Versión

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by