How to detect and count kiwi fruit on a tree?

Question

Mohandis Bencaus 2021-5-27

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/841660-how-to-detect-and-count-kiwi-fruit-on-a-tree

I need to make a matlab program that can count kiwi fruits on a tree. It dont need to count perfectly.

I just need a matlab program that takes kiwi fruit tree image and count kiwis and give me a number. It dont need to be perfect.

Example inputs:

I have code like this, i get it from here and little bit modifed.

folder = [];
baseFileName = 'kiwis.jpg';
fullFileName = fullfile(folder, baseFileName);
rgbImage = imread(fullFileName);
[rows, columns, numberOfColorChannels] = size(rgbImage)
[mask, maskedRGBImage] = createMask(rgbImage);
% Sobel filter code start %
B= rgb2gray(maskedRGBImage);
C=double(B);
for i=1:size(C,1)-2
    for j=1:size(C,2)-2
% Sobel Mask for x direction:  
Gx=((2*C(i+2,j+1)+C(i+2,j)+C(i+2,j+2))-(2*C(i,j+1)+C(i,j)+C(i,j+2)));
% Sobel Mask for y direction:  
Gy=((2*C(i+1,j+2)+C(i,j+2)+C(i+2,j+2))-(2*C(i+1,j)+C(i,j)+C(i+2,j)));
%gradyan of image
B(i,j)=sqrt(Gx.^2+Gy.^2);
end
end
% Sobel filter code end %
figure,imshow(maskedRGBImage);
figure,imshow(B);
figure,imshow(U);
function [BW,maskedRGBImage] = createMask(RGB)
%createMask  Threshold RGB image using auto-generated code from colorThresholder app.
%  [BW,MASKEDRGBIMAGE] = createMask(RGB) thresholds image RGB using
%  auto-generated code from the colorThresholder app. The colorspace and
%  range for each channel of the colorspace were set within the app. The
%  segmentation mask is returned in BW, and a composite of the mask and
%  original RGB images is returned in maskedRGBImage.
% Auto-generated by colorThresholder app on 22-May-2021
%------------------------------------------------------
% Convert RGB image to chosen color space
I = rgb2lab(RGB);
% Define thresholds for channel 1 based on histogram settings
channel1Min = 1.176;
channel1Max = 79.447;
% Define thresholds for channel 2 based on histogram settings
channel2Min = -4.567;
channel2Max = 31.611;
% Define thresholds for channel 3 based on histogram settings
channel3Min = -5.773;
channel3Max = 70.934;
% Create mask based on chosen histogram thresholds
sliderBW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
	(I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ...
	(I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);
BW = sliderBW;
% Initialize output masked image based on input image.
maskedRGBImage = RGB;
% Set background pixels where BW is false to zero.
maskedRGBImage(repmat(~BW,[1 1 3])) = 0;
end