To read the road sign in the image with MATLAB, the following steps can be taken:
Load the image using imread function
Preprocess the image by converting it to grayscale and applying some filters to enhance the features of the sign.
Use computer vision techniques such as edge detection, image binarization, and morphological operations to extract the sign from the background.
Apply OCR (Optical Character Recognition) techniques to recognize the text in the sign using machine learning models.
Display the recognized text on the original image.
Here's some sample code to perform the above steps:
main.m
% Load the imageimg = imread('road_sign.jpg');
% Convert the image to grayscalegrayImg = rgb2gray(img);
% Apply Median Filter and Contrast adjustment to enhance featuresmedImg = medfilt2(grayImg, [55]);
adjImg = imadjust(medImg);
% Apply Canny edge detectionedgeImg = edge(adjImg, 'Canny');
% Perform morphological operations to extract the sign from the backgroundse = strel('disk',5);
dilatedImg = imdilate(edgeImg,se);
filledImg = imfill(dilatedImg,'holes');
maskedImg = filledImg & ~edgeImg;
% Recognize the text in the signocrtxt = ocr(maskedImg);
% Display the text on the original imagefigure, imshow(img), title('Original Image');
hold on
text(ocrtxt.WordBoundingBoxes(:,1),ocrtxt.WordBoundingBoxes(:,2),...
ocrtxt.Words,'BackgroundColor',[.7.9.7]);
hold off