Question

Image processing Matlab problem. Could you please help me to write a Matlab code to read images, equalize contrasts, covert images to grayscale and binary, then display on same windows. Then perform SOBEL and CANNY edge detection on images. Final make MATLAB to count the number of circles in images (circles and red circles)

And how can we distinguish circles by color? and how to count number of red, green and blue circles separately for example.

Answer 1

Answer:

Please find the below steps to get to solve your problem in MatLab

1. To read an image: Use imread() function to read images

Syntax:   A = imread(filename, fmt);

Here fmt is optional. Ex: im = imread("image1.jpg");

2. To convert image to grayscale: Use im2gray() function to convert input color image to gray

Syntax: A = rgb2gray(RGB)

Ex: im_gray = rgb2gray(im); % converting above read image im to im_gray

3. To equalize contrast of an image: Use histeq() function

Syntax: J = histeq(I);

Ex: im_cc = histeq(im_gray); % here cc means contrast corrected

4. To convert image to binary: Use im2bw() function

Syntax: BW = im2bw(I,level)

Ex: im_bw = im2bw(im_cc);

5. To display all images in diffrent windows: Use figure and imshow() function

Syntax: figure, imshow(I);

Ex:

figure, imshow(im);

figure, imshow(im_gray);

figure, imshow(im_cc);

figure, imshow(im_bw);

6. To do edge detection for both Sobel and Canny : Use edge() function

Syntax: BW1 = edge(I,'Canny');

BW2 = edge(I,'Sobel');

Ex:

BW1 = edge(im, 'Canny');

BW2 = edge(im, 'Sobel');

7. To do circles detection: Use imfindcircles()

Syntax: [centers,radii,metric] = imfindcircles(A,radiusRange)

Ex: [centers, radii, metric] = imfindcircles(im, [15 30]);