- Clears the command window and removes all variables from the workspace using clc and clear all.
- Loads an image named 'walk.jpeg' into the variable originalImage using the imread function.
- Allows the user to select a region of interest from the originalImage using the roipoly function, and stores the selected region in the variable selectedRegion.
- Defines the size of the filter to be 15 and creates an averaging filter kernel using the fspecial function.
- Normalizes the filter kernel by dividing it by the sum of all its elements.
- Blurs the originalImage using the imfilter function with the previously created filter kernel, and stores the result in the variable blurredImage.
- Creates a copy of the originalImage and stores it in the variable resultImage.
- Replaces the non-selected region in resultImage with the corresponding region from blurredImage, effectively applying the blur effect to the non-selected region.
- Displays the original image and the resulting image side by side in a figure using the subplot, imshow, and title functions.
explain this matlab code please
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this is a code for image processing to create a blurred effect on an image while keeping a selected region in focus.please explain this code
clc; clear all;
originalImage = imread('walk.jpeg');
selectedRegion = roipoly(originalImage);
filterSize = 15;
filterKernel = fspecial('average', filterSize);
filterKernel = filterKernel / sum(filterKernel(:));
blurredImage = imfilter(originalImage, filterKernel, 'replicate');
resultImage = originalImage;
resultImage(repmat(~selectedRegion, [1, 1, size(originalImage, 3)])) = blurredImage(repmat(~selectedRegion, [1, 1, size(originalImage, 3)]));
figure;
subplot(1, 2, 1), imshow(originalImage), title('Original Image');
subplot(1, 2, 2), imshow(resultImage), title('Blurred Image with Selected Region in Focus')
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Respuestas (1)
Cris LaPierre
el 11 de Dic. de 2023
From ChatGPT
This MATLAB code performs the following tasks:
This code essentially allows the user to selectively apply a blur effect to a specific region of the loaded image, while keeping another region in focus.
I asked it to add comments to the code.
% Clear the command window and remove all variables from the workspace
clc;
clear all;
% Load the original image
originalImage = imread('walk.jpeg');
% Allow the user to select a region of interest from the original image
selectedRegion = roipoly(originalImage);
% Define the size of the filter
filterSize = 15;
% Create an averaging filter kernel
filterKernel = fspecial('average', filterSize);
% Normalize the filter kernel
filterKernel = filterKernel / sum(filterKernel(:));
% Blur the original image using the created filter kernel
blurredImage = imfilter(originalImage, filterKernel, 'replicate');
% Create a copy of the original image
resultImage = originalImage;
% Replace the non-selected region in resultImage with the corresponding region from blurredImage
resultImage(repmat(~selectedRegion, [1, 1, size(originalImage, 3)])) = blurredImage(repmat(~selectedRegion, [1, 1, size(originalImage, 3)]));
% Display the original image and the resulting image side by side in a figure
figure;
subplot(1, 2, 1), imshow(originalImage), title('Original Image');
subplot(1, 2, 2), imshow(resultImage), title('Blurred Image with Selected Region in Focus');
1 comentario
Image Analyst
el 11 de Dic. de 2023
Did you try the Mathworks version at https://www.mathworks.com/matlabcentral/playground/new
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