How to detect boundaries of a plant's leaves in an image?

% Demo to have the user freehand draw an irregular shape over a gray scale image.
% Then it creates new images:
% (1) where the drawn region is untouched inside the region and all black outside the region.
clc;	% Clear command window.
% clear;	% Delete all variables.
close all;	% Close all figure windows except those created by imtool.
imtool close all;	% Close all figure windows created by imtool.
workspace;	% Make sure the workspace panel is showing.
fontSize = 16;
% Read in a standard MATLAB gray scale demo image.
folder = pwd; % Determine where demo folder is.
baseFileName = 'imgsp1466.jpg';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
	% File doesn't exist -- didn't find it there.  Check the search path for it.
	fullFileName = baseFileName; % No path this time.
	if ~exist(fullFileName, 'file')
		% Still didn't find it.  Alert user.
		errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName);
		uiwait(warndlg(errorMessage));
		return;
	end
end
grayImage = imread(fullFileName);
[rows, columns, numberOfColorChannels] = size(grayImage);
imshow(grayImage, []);
axis on;
title('Original Grayscale Image', 'FontSize', fontSize);
set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.
% Ask user to draw freehand mask.
message = sprintf('Left click and hold to begin drawing.\nSimply lift the mouse button to finish');
uiwait(msgbox(message));
hFH = imfreehand(); % Actual line of code to do the drawing.
% Create a binary image ("mask") from the ROI object.
binaryImage = hFH.createMask();
xy = hFH.getPosition;
% Now make it smaller so we can show more images.
subplot(3, 1, 1);
imshow(grayImage, []);
axis on;
drawnow;
title('Original gray scale image', 'FontSize', fontSize);
% Display the freehand mask.
subplot(3, 1, 2);
imshow(binaryImage);
axis on;
title('Binary mask of the region', 'FontSize', fontSize);
% Calculate the area, in pixels, that they drew.
numberOfPixels1 = sum(binaryImage(:))
% Another way to calculate it that takes fractional pixels into account.
numberOfPixels2 = bwarea(binaryImage)
% Mask the image outside the mask (make it black outside the white mask region), and display it.
% Will keep only the part of the image that's inside the mask, zero outside mask.
% Mask the image using bsxfun() function to multiply the mask by each channel individually.  Works for gray scale as well as RGB Color images.
blackMaskedImage = bsxfun(@times, grayImage, cast(binaryImage, 'like', grayImage));
subplot(3, 1, 3);
imshow(blackMaskedImage);
axis on;
title('Masked black outside region', 'FontSize', fontSize);

Manoj Prasad S.G 2020-10-28

Sir after clicking on colour threshold and exporting code from that but applying this code also again it would be asking me to draw on the edges.

this the code

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 28-Oct-2020

%------------------------------------------------------

% Convert RGB image to chosen color space

I = RGB;

% Define thresholds for channel 1 based on histogram settings

channel1Min = 0.000;

channel1Max = 76.000;

% Define thresholds for channel 2 based on histogram settings

channel2Min = 0.000;

channel2Max = 255.000;

% Define thresholds for channel 3 based on histogram settings

channel3Min = 0.000;

channel3Max = 255.000;

% 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

I attached this at the end of this below code:

% Demo to have the user freehand draw an irregular shape over a gray scale image.

% Then it creates new images:

% (1) where the drawn region is untouched inside the region and all black outside the region.

clc; % Clear command window.

% clear; % Delete all variables.

close all; % Close all figure windows except those created by imtool.

imtool close all; % Close all figure windows created by imtool.

workspace; % Make sure the workspace panel is showing.

fontSize = 16;

% Read in a standard MATLAB gray scale demo image.

folder = pwd; % Determine where demo folder is.

baseFileName = 'C:\Users\Manoj Prasad\Downloads\SHAREit\vivo 1601\photo\betel.jpg';

% Get the full filename, with path prepended.

fullFileName = fullfile(folder, baseFileName);

% Check if file exists.

if ~exist(fullFileName, 'file')

% File doesn't exist -- didn't find it there. Check the search path for it.

fullFileName = baseFileName; % No path this time.

if ~exist(fullFileName, 'file')

% Still didn't find it. Alert user.

errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName);

uiwait(warndlg(errorMessage));

return;

end

grayImage = imread(fullFileName);

[rows, columns, numberOfColorChannels] = size(grayImage);

imshow(grayImage, []);

axis on;

title('Original Grayscale Image', 'FontSize', fontSize);

set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.

% Ask user to draw freehand mask.

message = sprintf('Left click and hold to begin drawing.\nSimply lift the mouse button to finish');

uiwait(msgbox(message));

hFH = imfreehand(); % Actual line of code to do the drawing.

% Create a binary image ("mask") from the ROI object.

binaryImage = hFH.createMask();

xy = hFH.getPosition;

% Now make it smaller so we can show more images.

subplot(3, 1, 1);

imshow(grayImage, []);

axis on;

drawnow;

title('Original gray scale image', 'FontSize', fontSize);

% Display the freehand mask.

subplot(3, 1, 2);

imshow(binaryImage);

axis on;

title('Binary mask of the region', 'FontSize', fontSize);

% Calculate the area, in pixels, that they drew.

numberOfPixels1 = sum(binaryImage(:))

% Another way to calculate it that takes fractional pixels into account.

numberOfPixels2 = bwarea(binaryImage)

% Mask the image outside the mask (make it black outside the white mask region), and display it.

% Will keep only the part of the image that's inside the mask, zero outside mask.

% Mask the image using bsxfun() function to multiply the mask by each channel individually. Works for gray scale as well as RGB Color images.

blackMaskedImage = bsxfun(@times, grayImage, cast(binaryImage, 'like', grayImage));

subplot(3, 1, 3);

imshow(blackMaskedImage);

axis on;

title('Masked black outside region', 'FontSize', fontSize);

Abdullah Mazin 2022-1-28

Hellow Mr.

I wish with good healthy. Can u help me with extract feature from this type of image (palms) and remove the background and detect every leaf of palms healthy or unhealthy!!

Thank u for any thing.

Image Analyst 2022-1-28

@Abdullah Mazin try stdfilt() on the color channel with the most contrast.

If you still need more help, start a new question. It's been 5 years so we probably don't want to bother @Halil Ibrahim Bozoglu anymore with your question.

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