Segmented blur fails when adding segments on image

Question

Ömer Faruk Kurular 2019-9-25

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/482044-segmented-blur-fails-when-adding-segments-on-image

编辑： Pranjal Kaura 2021-7-27

I have an image and I have an focus (rectangular) area which will be clear in result. I need to find another rectangular area larger than focus area. First keep focus area and other found area in a variable to user later. Now blur whole image much and then blur another area we found less than whole image and put it back. At last, put the focus back on image. What is wrong with my code?

Input Image

result image

x1,y1,x2,y2 are retes of coordinates. if x1 = 0.1 on 1020 pixel image x = 102

function blurred_image = blurImage(image, x1, y1, x2, y2)
    [height, width, ~] = size(image);
    
    %desired area coordinates
    c_x1 =  floor(width * x1);
    c_y1 = floor(height * (1-y1));
    c_x2 =  floor(width * x2);
    c_y2 = floor(height * (1-y2));
    
    %blurred segment
    b_x1 = floor(abs(c_x1 - c_x1/2));
    b_y1 = floor(abs(c_y1 - c_y1/2));
    b_x2 = floor(abs(c_x2 + (width - c_x2)/2));
    b_y2 = floor(abs(c_y2 + (height - c_y2)/2));
  
    fprintf("%d\n", b_x1);
    fprintf("%d\n", b_y1);
    fprintf("%d\n", b_x2);
    fprintf("%d\n", b_y2);
    
    focus = image(c_y1:c_y2, c_x1:c_x2);
    segment = imgaussfilt(image(b_y1:b_y2,b_x1:b_x2), 3);
    image = imgaussfilt(image, 5);
    image(b_y1:b_y2, b_x1:b_x2) = segment;
    image(c_y1:c_y2, c_x1:c_x2) = focus;
    blurred_image =  image;  
end 

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KALYAN ACHARJYA 2019-9-25

Where is sample image?

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Answer 1

Pranjal Kaura 2021-7-27

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/482044-segmented-blur-fails-when-adding-segments-on-image#answer_754729

编辑：Pranjal Kaura 2021-7-27

在 MATLAB Online 中打开

Hey,

It is my understanding that you want to develop a function using which you can focus on a certain part of the image by blurring other parts. You want to blur the image in segments to achieve a gradient look in the output.

The problem with your code is

You’re using a 3D image with imgausfilt function, which is a 2D image smoothing function. If you want to use 3D images, you can use imgausfilt3 function.
The extracted co-ordinates (c_y1, c_y2) are incorrect and [b_x1, b_y1] had overhead calculations which can be optimised.

Here’s a code snippet that might be helpful

img = rgb2gray(imread('img.jpeg'));
imshow(img);
title("Input Image");
figure;
out_img = blurImage(img, 0.55, 0.1, 0.85, 0.8);
imshow(out_img);
title("Output Image");
function blurred_image = blurImage(image, x1, y1, x2, y2)
    [height, width, ~] = size(image);
    
    %desired area coordinates
    c_x1 =  floor(width * x1);
    c_y1 = floor(height * y1);
    c_x2 =  floor(width * x2);
    c_y2 = floor(height * y2);
    
    %blurred segment
    b_x1 = floor(abs(c_x1/2));
    b_y1 = floor(abs(c_y1/2));
    b_x2 = floor(abs(c_x2 + (width - c_x2)/2));
    b_y2 = floor(abs(c_y2 + (height - c_y2)/2));
  
    fprintf("%d %d\n", b_x1, c_x1);
    fprintf("%d %d\n", b_y1, c_y1);
    fprintf("%d %d\n", b_x2, c_x2);
    fprintf("%d %d\n", b_y2, c_y2);
    
    focus = image(c_y1:c_y2, c_x1:c_x2);
    segment = imgaussfilt(image(b_y1:b_y2,b_x1:b_x2), 5);
    image = imgaussfilt(image, 9);
    image(b_y1:b_y2, b_x1:b_x2) = segment;
    image(c_y1:c_y2, c_x1:c_x2) = focus;
    blurred_image =  image;  
end 